https://infovis-wiki.net/w/api.php?action=feedcontributions&user=Kerren&feedformat=atomInfoVis:Wiki - User contributions [en]2024-03-28T23:32:36ZUser contributionsMediaWiki 1.40.1https://infovis-wiki.net/w/index.php?title=2023-01-13:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Linnaeus_University,_Sweden._(Deadline:_February_10,_2023_EXTENDED)&diff=1605912023-01-13: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: February 10, 2023 EXTENDED)2023-01-13T16:54:43Z<p>Kerren: /* How to apply */</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The postdoc fellow will conduct research within the fields of information visualization and visual analytics in close collaboration with ISOVIS members, other research groups of the department, and domain experts within the Linnaeus University Centre for Data Intensive Sciences and Applications ([https://lnu.se/en/research/research-groups/linnaeus-university-centre-for-data-intensive-sciences-and-applications/ DISA]). The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to the reporting of the results in publications.<br />
<br />
In this context, the postdoc fellow is expected to regularly present intermediate/final research results at international conferences/workshops and publish them in highly-ranked conference proceedings and journals in the areas of information visualization, visual analytics, but possibly also in the areas of the domain experts.<br />
<br />
Within the DISA environment, large and complex data sets from various domain areas need to be efficiently visualized to transform data into useful information and new knowledge by the development of visualization principles, techniques and visual analytics tools, including provisioning suitable backend infrastructures to serve web-based, interactive visualizations.<br />
<br />
To the extent of maximal 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels (incl. supervision of Bachelor’s and Master’s thesis projects). The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
==Your qualifications==<br />
<br />
Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application. Eligibility for this position also requires that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
Excellent written and oral communication skills in English are required.<br />
<br />
Excellent knowledge in the focused research areas of information visualization and visual analytics is a strong advantage. Good programming skills (Java, JavaScript, HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Experience of teaching at undergraduate and/or advanced levels in the field is desirable. Documented expertise and working experience within at least one of the following research and educational areas is a great advantage: <br />
<br />
* Visual analytics of Big Data<br />
* Multidimensional visualization techniques in combination with machine learning and/or data mining techniques<br />
* Visual text/network/software analytics<br />
* Explainable AI/ML using visualization<br />
* Experiences in specific application domains and their visualization needs, such as in digital humanities, social sciences, engineering sciences, life sciences, etc.<br />
<br />
Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants. Proven track record of publication will be preferable.<br />
Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to a successful development of the research environment.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1019-2.2.1) will be received until '''February 10, 2023''' (extended deadline). <br />
<br />
<br />
[[Category:News]]<br />
[[Category:01/2023]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2023-01-13:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Linnaeus_University,_Sweden._(Deadline:_February_10,_2023_EXTENDED)&diff=1605902023-01-13: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: February 10, 2023 EXTENDED)2023-01-13T16:54:03Z<p>Kerren: Created page with "<center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR> <center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR> ==Your workplace== The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by Professor Andreas Kerren. The research group mai..."</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The postdoc fellow will conduct research within the fields of information visualization and visual analytics in close collaboration with ISOVIS members, other research groups of the department, and domain experts within the Linnaeus University Centre for Data Intensive Sciences and Applications ([https://lnu.se/en/research/research-groups/linnaeus-university-centre-for-data-intensive-sciences-and-applications/ DISA]). The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to the reporting of the results in publications.<br />
<br />
In this context, the postdoc fellow is expected to regularly present intermediate/final research results at international conferences/workshops and publish them in highly-ranked conference proceedings and journals in the areas of information visualization, visual analytics, but possibly also in the areas of the domain experts.<br />
<br />
Within the DISA environment, large and complex data sets from various domain areas need to be efficiently visualized to transform data into useful information and new knowledge by the development of visualization principles, techniques and visual analytics tools, including provisioning suitable backend infrastructures to serve web-based, interactive visualizations.<br />
<br />
To the extent of maximal 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels (incl. supervision of Bachelor’s and Master’s thesis projects). The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
==Your qualifications==<br />
<br />
Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application. Eligibility for this position also requires that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
Excellent written and oral communication skills in English are required.<br />
<br />
Excellent knowledge in the focused research areas of information visualization and visual analytics is a strong advantage. Good programming skills (Java, JavaScript, HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Experience of teaching at undergraduate and/or advanced levels in the field is desirable. Documented expertise and working experience within at least one of the following research and educational areas is a great advantage: <br />
<br />
* Visual analytics of Big Data<br />
* Multidimensional visualization techniques in combination with machine learning and/or data mining techniques<br />
* Visual text/network/software analytics<br />
* Explainable AI/ML using visualization<br />
* Experiences in specific application domains and their visualization needs, such as in digital humanities, social sciences, engineering sciences, life sciences, etc.<br />
<br />
Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants. Proven track record of publication will be preferable.<br />
Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to a successful development of the research environment.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1019-2.2.1) will be received until '''February 10, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:01/2023]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160589Template:News2023-01-13T16:52:45Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
<!-- 2) "Save page" --><br />
<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
<!-- 4.1) [[Category:News]] --><br />
<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2023-01-13: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: February 10, 2023 EXTENDED)]]<br />
*[[2023-01-05: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 6, 2023)]]<br />
*[[2022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]<br />
*[[2022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]<br />
*[[2022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)]]<br />
*[[2021-04-28: CFP: AIMH - Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (Deadline: May 9, 2022 EXTENDED)]]<br />
*[[2022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)]]<br />
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]<br />
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]<br />
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]<br />
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]<br />
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2023-01-05:_Job:_PhD_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_February_6,_2023)&diff=1605882023-01-05: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 6, 2023)2023-01-05T15:19:12Z<p>Kerren: /* How to apply */</p>
<hr />
<div><center><span style="font-size:160%">'''PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your work assignments==<br />
<br />
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.<br />
<br />
The focus of this advertised PhD position and the corresponding research project will be on the <b> web-based visualization of large and complex, multilayer networks</b>. Related aspects, such as multilayer network embeddings, graph layouts for multilayer networks, or the visual analysis of attributes across network layers, will also be studied. The PhD student will develop foundational visualization principles, techniques and visual analytics tools for analyzing multilayer network data especially from the power systems domain. The work will even include the development and provisioning of a suitable backend infrastructure to serve the web-based, interactive visual display with the needed original and derived data collected during the analytical process.<br />
<br />
Duties consist mainly of the following:<br />
* Graduate studies in the field of information visualization/visual analytics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks).<br />
* Research in the field information visualization/visual analytics.<br />
* Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.<br />
* Close collaboration with the other group members in an interdisciplinary research environment as well as with the domain experts involved in this project.<br />
* At most 20% of the total working time will be dedicated to teaching and other administrative departmental tasks<br />
<br />
<i>Note that a PhD position in Sweden is a salaried employment with the right to social benefits and paid vacations.</i><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [https://liu.se/en/research/ivis iVis group] led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in the life sciences, humanities, or environmental sciences. Our research vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your qualifications==<br />
<br />
You have graduated at Master’s level within computer science, media technology, computer engineering, information technology or closely related topic, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.<br />
<br />
The work of a PhD student is driven by engagement, curiosity, creativity, problem solving, the ability to work independently, but also the ability and willingness to collaborate with fellow colleagues from different backgrounds. Required qualifications are:<br />
<br />
* A Master’s degree in the area of computer science, media technology, computer engineering, information technology or closely related topic from a recognized university. <br />
* A successfully finished Master’s thesis performed in a field related to Information Visualization, Visual Analytics, Human-Computer Interaction, Graph Drawing, or Data Science.<br />
* Excellent English communication skills, both verbal and written.<br />
<br />
Excellent knowledge in the focused research area of visualization and visual analytics of networks is a strong advantage. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, graph drawing.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies/20942 '''https://liu.se/en/work-at-liu/vacancies/20942'']</center><br><br />
<br />
Online applications (reference number: LiU-2022-05261) will be received until '''February 6, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:01/2023]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2023-01-05:_Job:_PhD_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_February_6,_2023)&diff=1605872023-01-05: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 6, 2023)2023-01-05T15:18:05Z<p>Kerren: Created page with "<center><span style="font-size:160%">'''PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR> <center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR> ==Your work assignments== As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you..."</p>
<hr />
<div><center><span style="font-size:160%">'''PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your work assignments==<br />
<br />
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.<br />
<br />
The focus of this advertised PhD position and the corresponding research project will be on the <b> web-based visualization of large and complex, multilayer networks</b>. Related aspects, such as multilayer network embeddings, graph layouts for multilayer networks, or the visual analysis of attributes across network layers, will also be studied. The PhD student will develop foundational visualization principles, techniques and visual analytics tools for analyzing multilayer network data especially from the power systems domain. The work will even include the development and provisioning of a suitable backend infrastructure to serve the web-based, interactive visual display with the needed original and derived data collected during the analytical process.<br />
<br />
Duties consist mainly of the following:<br />
* Graduate studies in the field of information visualization/visual analytics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks).<br />
* Research in the field information visualization/visual analytics.<br />
* Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.<br />
* Close collaboration with the other group members in an interdisciplinary research environment as well as with the domain experts involved in this project.<br />
* At most 20% of the total working time will be dedicated to teaching and other administrative departmental tasks<br />
<br />
<i>Note that a PhD position in Sweden is a salaried employment with the right to social benefits and paid vacations.</i><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [https://liu.se/en/research/ivis iVis group] led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in the life sciences, humanities, or environmental sciences. Our research vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your qualifications==<br />
<br />
You have graduated at Master’s level within computer science, media technology, computer engineering, information technology or closely related topic, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.<br />
<br />
The work of a PhD student is driven by engagement, curiosity, creativity, problem solving, the ability to work independently, but also the ability and willingness to collaborate with fellow colleagues from different backgrounds. Required qualifications are:<br />
<br />
* A Master’s degree in the area of computer science, media technology, computer engineering, information technology or closely related topic from a recognized university. <br />
* A successfully finished Master’s thesis performed in a field related to Information Visualization, Visual Analytics, Human-Computer Interaction, Graph Drawing, or Data Science.<br />
* Excellent English communication skills, both verbal and written.<br />
<br />
Excellent knowledge in the focused research area of visualization and visual analytics of networks is a strong advantage. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, graph drawing.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies/20942 '''https://liu.se/en/work-at-liu/vacancies/20942'']</center><br><br />
<br />
Online applications (reference number: LiU-2021-02831) will be received until '''February 6, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:01/2023]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160586Template:News2023-01-05T15:09:25Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
<!-- 2) "Save page" --><br />
<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
<!-- 4.1) [[Category:News]] --><br />
<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2023-01-05: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 6, 2023)]]<br />
*[[2022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]<br />
*[[2022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]<br />
*[[2022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)]]<br />
*[[2021-04-28: CFP: AIMH - Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (Deadline: May 9, 2022 EXTENDED)]]<br />
*[[2022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)]]<br />
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]<br />
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]<br />
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]<br />
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]<br />
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-12-08:_Job:_Senior_Lecturer_Position_in_Information_Visualization_at_Linnaeus_University,_Sweden._(Deadline:_January_9,_2023)&diff=1605852022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)2022-12-08T08:13:26Z<p>Kerren: /* Your qualifications */</p>
<hr />
<div><center><span style="font-size:160%">'''Senior lecturer in Computer Science with Specialization in Information Visualization'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the information visualization research group ([http://cs.lnu.se/isovis/ ISOVIS]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to reporting of results and publication in highly-ranked journals and conferences in the areas of information visualization and visual analytics.<br />
<br />
In addition, the position holder will teach in courses at different levels (incl. course administration and supervision of thesis projects), be involved in syllabi and curricula development, and be responsible teacher for courses. The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
The position also involves co-supervision of doctoral students, active participation in the operational work and development of the ISOVIS research group, and attracting external research funding.<br />
<br />
==Your qualifications==<br />
<br />
The assessment criteria for the appointment of a lecturer will be guided by the degree of competence required for eligibility for appointment. In the evaluation process, teaching competence will be given the same priority as the other eligibility criteria.<br />
<br />
The assessment of <i>scientific competence</i> will be guided by the independence, scope and quality of the candidate’s research.<br />
<br />
<i>Pedagogical skills</i> must have been demonstrated through teaching and relate to the development, planning, implementation and evaluation of courses, as well as student supervision and examination. Teaching skills should demonstrate a reflective approach to student learning and to the lecturer's own role.<br />
<br />
The applicant must have documented research/teaching experience from one or more of the following:<br />
<br />
* Visual text analytics and text visualization<br />
* Multidimensional visualization techniques in combination with machine learning and/or data mining techniques<br />
* Integration of data analysis, interaction, and visualization<br />
* Visualization of multivariate and/or dynamic networks<br />
* Experiences in visualization applied to specific application domains which are focus areas of the group and department, such as (digital) humanities, social or life sciences, and engineering.<br />
* Integration of visual analytics approaches with computational models incl. eXplainable AI<br />
<br />
Experience with visualization- and data science-related programming languages and libraries (e.g., Java, JavaScript, WebGL/OpenGL, Python, or Scikit-Learn) is especially meriting, as is a solid education in mathematics and computer graphics.<br />
The candidate should have skills for the development and maintenance of web-based visualization tools, for example: D3, Plotly Dash, MongoDB, WebSockets, and/or Unix-based server architectures.<br />
<br />
Excellent written and oral communication skills in English are required, preferably documented in papers published in well-known journals and/or presented at prominent conferences in information visualization or visual analytics. Teamwork experiences, such as previous work in national/international research projects, should also be documented in the application. Active involvement in writing grant applications is also considered meriting, as well as experience in supervising first- and second-cycle thesis projects and doctoral students, preferably supported by a finished pedagogical training concerning teaching in higher education institutions and doctoral supervision.<br />
<br />
Since the subject of computer science is male-dominated, we encourage female applicants. In the overall assessment of an applicant's skills, particular significance will be attached to the applicant's potential to have a successful career as a teacher and researcher.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7037&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7037&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1108-2.2.1) will be received until '''January 9, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:12/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-12-08:_Job:_Senior_Lecturer_Position_in_Information_Visualization_at_Linnaeus_University,_Sweden._(Deadline:_January_9,_2023)&diff=1605842022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)2022-12-08T08:13:11Z<p>Kerren: /* Your work assignments */</p>
<hr />
<div><center><span style="font-size:160%">'''Senior lecturer in Computer Science with Specialization in Information Visualization'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the information visualization research group ([http://cs.lnu.se/isovis/ ISOVIS]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to reporting of results and publication in highly-ranked journals and conferences in the areas of information visualization and visual analytics.<br />
<br />
In addition, the position holder will teach in courses at different levels (incl. course administration and supervision of thesis projects), be involved in syllabi and curricula development, and be responsible teacher for courses. The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
The position also involves co-supervision of doctoral students, active participation in the operational work and development of the ISOVIS research group, and attracting external research funding.<br />
<br />
==Your qualifications==<br />
<br />
The assessment criteria for the appointment of a lecturer will be guided by the degree of competence required for eligibility for appointment. In the evaluation process, teaching competence will be given the same priority as the other eligibility criteria.<br />
<br />
The assessment of <i>scientific competence</i> will be guided by the independence, scope and quality of the candidate’s research.<br />
<br />
<i>Pedagogical skills</i> must have been demonstrated through teaching and relate to the development, planning, implementation and evaluation of courses, as well as student supervision and examination. Teaching skills should demonstrate a reflective approach to student learning and to the lecturer's own role.<br />
<br />
The applicant must have documented research/teaching experience from one or more of the following:<br />
<br />
* Visual text analytics and text visualization<br />
* Multidimensional visualization techniques in combination with machine learning and/or data mining techniques<br />
* Integration of data analysis, interaction, and visualization<br />
* Visualization of multivariate and/or dynamic networks<br />
* Experiences in visualization applied to specific application domains which are focus areas of the group and department, such as (digital) humanities, social or life sciences, and engineering.<br />
* Integration of visual analytics approaches with computational models incl. eXplainable AI<br />
<br />
Experience with visualization- and data science-related programming languages and libraries (e.g., Java, JavaScript, WebGL/OpenGL, Python, or Scikit-Learn) is especially meriting, as is a solid education in mathematics and computer graphics.<br />
The candidate should have skills for the development and maintenance of web-based visualization tools, for example: D3, Plotly Dash, MongoDB, WebSockets, and/or Unix-based server architectures.<br />
<br />
Excellent written and oral communication skills in English are required, preferably documented in papers published in well-known journals and/or presented at prominent conferences in information visualization or visual analytics. Teamwork experiences, such as previous work in national/international research projects, should also be documented in the application. Active involvement in writing grant applications is also considered meriting, as well as experience in supervising first- and second-cycle thesis projects and doctoral students, preferably supported by a finished pedagogical training concerning teaching in higher education institutions and doctoral supervision.<br />
<br />
Since the subject of computer science is male-dominated, we encourage female applicants. In the overall assessment of an applicant's skills, particular significance will be attached to the applicant's potential to have a successful career as a teacher and researcher.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7037&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7037&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1108-2.2.1) will be received until '''January 9, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:12/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-12-08:_Job:_Senior_Lecturer_Position_in_Information_Visualization_at_Linnaeus_University,_Sweden._(Deadline:_January_9,_2023)&diff=1605832022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)2022-12-08T08:12:16Z<p>Kerren: /* Your workplace */</p>
<hr />
<div><center><span style="font-size:160%">'''Senior lecturer in Computer Science with Specialization in Information Visualization'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the information visualization research group ([http://cs.lnu.se/isovis/ ISOVIS]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to reporting of results and publication in highly-ranked journals and conferences in the areas of information visualization and visual analytics.<br />
<br />
In addition, the position holder will teach in courses at different levels (incl. course administration and supervision of thesis projects), be involved in syllabi and curricula development, and be responsible teacher for courses. The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
The position also involves co-supervision of doctoral students, active participation in the operational work and development of the ISOVIS research group, and attracting external research funding.<br />
<br />
<br />
==Your qualifications==<br />
<br />
The assessment criteria for the appointment of a lecturer will be guided by the degree of competence required for eligibility for appointment. In the evaluation process, teaching competence will be given the same priority as the other eligibility criteria.<br />
<br />
The assessment of <i>scientific competence</i> will be guided by the independence, scope and quality of the candidate’s research.<br />
<br />
<i>Pedagogical skills</i> must have been demonstrated through teaching and relate to the development, planning, implementation and evaluation of courses, as well as student supervision and examination. Teaching skills should demonstrate a reflective approach to student learning and to the lecturer's own role.<br />
<br />
The applicant must have documented research/teaching experience from one or more of the following:<br />
<br />
* Visual text analytics and text visualization<br />
* Multidimensional visualization techniques in combination with machine learning and/or data mining techniques<br />
* Integration of data analysis, interaction, and visualization<br />
* Visualization of multivariate and/or dynamic networks<br />
* Experiences in visualization applied to specific application domains which are focus areas of the group and department, such as (digital) humanities, social or life sciences, and engineering.<br />
* Integration of visual analytics approaches with computational models incl. eXplainable AI<br />
<br />
Experience with visualization- and data science-related programming languages and libraries (e.g., Java, JavaScript, WebGL/OpenGL, Python, or Scikit-Learn) is especially meriting, as is a solid education in mathematics and computer graphics.<br />
The candidate should have skills for the development and maintenance of web-based visualization tools, for example: D3, Plotly Dash, MongoDB, WebSockets, and/or Unix-based server architectures.<br />
<br />
Excellent written and oral communication skills in English are required, preferably documented in papers published in well-known journals and/or presented at prominent conferences in information visualization or visual analytics. Teamwork experiences, such as previous work in national/international research projects, should also be documented in the application. Active involvement in writing grant applications is also considered meriting, as well as experience in supervising first- and second-cycle thesis projects and doctoral students, preferably supported by a finished pedagogical training concerning teaching in higher education institutions and doctoral supervision.<br />
<br />
Since the subject of computer science is male-dominated, we encourage female applicants. In the overall assessment of an applicant's skills, particular significance will be attached to the applicant's potential to have a successful career as a teacher and researcher.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7037&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7037&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1108-2.2.1) will be received until '''January 9, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:12/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-12-08:_Job:_Senior_Lecturer_Position_in_Information_Visualization_at_Linnaeus_University,_Sweden._(Deadline:_January_9,_2023)&diff=1605822022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)2022-12-08T08:11:32Z<p>Kerren: Created page with "<center><span style="font-size:160%">'''Senior lecturer in Computer Science with Specialization in Information Visualization'''</span></center><BR> <center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR> ==Your workplace== The advertised position will be affiliated to the information visualization research group ([http://cs.lnu.se/isovis/ ISOVIS]) led by Kerren, An..."</p>
<hr />
<div><center><span style="font-size:160%">'''Senior lecturer in Computer Science with Specialization in Information Visualization'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the information visualization research group ([http://cs.lnu.se/isovis/ ISOVIS]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
<br />
==Your work assignments==<br />
<br />
The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to reporting of results and publication in highly-ranked journals and conferences in the areas of information visualization and visual analytics.<br />
<br />
In addition, the position holder will teach in courses at different levels (incl. course administration and supervision of thesis projects), be involved in syllabi and curricula development, and be responsible teacher for courses. The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
The position also involves co-supervision of doctoral students, active participation in the operational work and development of the ISOVIS research group, and attracting external research funding.<br />
<br />
<br />
==Your qualifications==<br />
<br />
The assessment criteria for the appointment of a lecturer will be guided by the degree of competence required for eligibility for appointment. In the evaluation process, teaching competence will be given the same priority as the other eligibility criteria.<br />
<br />
The assessment of <i>scientific competence</i> will be guided by the independence, scope and quality of the candidate’s research.<br />
<br />
<i>Pedagogical skills</i> must have been demonstrated through teaching and relate to the development, planning, implementation and evaluation of courses, as well as student supervision and examination. Teaching skills should demonstrate a reflective approach to student learning and to the lecturer's own role.<br />
<br />
The applicant must have documented research/teaching experience from one or more of the following:<br />
<br />
* Visual text analytics and text visualization<br />
* Multidimensional visualization techniques in combination with machine learning and/or data mining techniques<br />
* Integration of data analysis, interaction, and visualization<br />
* Visualization of multivariate and/or dynamic networks<br />
* Experiences in visualization applied to specific application domains which are focus areas of the group and department, such as (digital) humanities, social or life sciences, and engineering.<br />
* Integration of visual analytics approaches with computational models incl. eXplainable AI<br />
<br />
Experience with visualization- and data science-related programming languages and libraries (e.g., Java, JavaScript, WebGL/OpenGL, Python, or Scikit-Learn) is especially meriting, as is a solid education in mathematics and computer graphics.<br />
The candidate should have skills for the development and maintenance of web-based visualization tools, for example: D3, Plotly Dash, MongoDB, WebSockets, and/or Unix-based server architectures.<br />
<br />
Excellent written and oral communication skills in English are required, preferably documented in papers published in well-known journals and/or presented at prominent conferences in information visualization or visual analytics. Teamwork experiences, such as previous work in national/international research projects, should also be documented in the application. Active involvement in writing grant applications is also considered meriting, as well as experience in supervising first- and second-cycle thesis projects and doctoral students, preferably supported by a finished pedagogical training concerning teaching in higher education institutions and doctoral supervision.<br />
<br />
Since the subject of computer science is male-dominated, we encourage female applicants. In the overall assessment of an applicant's skills, particular significance will be attached to the applicant's potential to have a successful career as a teacher and researcher.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7037&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7037&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1108-2.2.1) will be received until '''January 9, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:12/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160581Template:News2022-12-08T08:03:46Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
<!-- 2) "Save page" --><br />
<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
<!-- 4.1) [[Category:News]] --><br />
<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]<br />
*[[2022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]<br />
*[[2022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)]]<br />
*[[2021-04-28: CFP: AIMH - Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (Deadline: May 9, 2022 EXTENDED)]]<br />
*[[2022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)]]<br />
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]<br />
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]<br />
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]<br />
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]<br />
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-12-04:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Linnaeus_University,_Sweden._(Deadline:_January_9,_2023)&diff=1605802022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)2022-12-04T11:32:01Z<p>Kerren: /* Your qualifications */</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The postdoc fellow will conduct research within the fields of information visualization and visual analytics in close collaboration with ISOVIS members, other research groups of the department, and domain experts within the Linnaeus University Centre for Data Intensive Sciences and Applications ([https://lnu.se/en/research/research-groups/linnaeus-university-centre-for-data-intensive-sciences-and-applications/ DISA]). The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to the reporting of the results in publications.<br />
<br />
In this context, the postdoc fellow is expected to regularly present intermediate/final research results at international conferences/workshops and publish them in highly-ranked conference proceedings and journals in the areas of information visualization, visual analytics, but possibly also in the areas of the domain experts.<br />
<br />
Within the DISA environment, large and complex data sets from various domain areas need to be efficiently visualized to transform data into useful information and new knowledge by the development of visualization principles, techniques and visual analytics tools, including provisioning suitable backend infrastructures to serve web-based, interactive visualizations.<br />
<br />
To the extent of maximal 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels (incl. supervision of Bachelor’s and Master’s thesis projects). The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
==Your qualifications==<br />
<br />
Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application. Eligibility for this position also requires that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
Excellent written and oral communication skills in English are required.<br />
<br />
Excellent knowledge in the focused research areas of information visualization and visual analytics is a strong advantage. Good programming skills (Java, JavaScript, HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Experience of teaching at undergraduate and/or advanced levels in the field is desirable. Documented expertise and working experience within at least one of the following research and educational areas is a great advantage: <br />
<br />
* Visual analytics of Big Data<br />
* Multidimensional visualization techniques in combination with machine learning and/or data mining techniques<br />
* Visual text/network/software analytics<br />
* Explainable AI/ML using visualization<br />
* Experiences in specific application domains and their visualization needs, such as in digital humanities, social sciences, engineering sciences, life sciences, etc.<br />
<br />
Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants. Proven track record of publication will be preferable.<br />
Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to a successful development of the research environment.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1019-2.2.1) will be received until '''January 9, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:12/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-12-04:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Linnaeus_University,_Sweden._(Deadline:_January_9,_2023)&diff=1605792022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)2022-12-04T11:31:20Z<p>Kerren: /* Your qualifications */</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The postdoc fellow will conduct research within the fields of information visualization and visual analytics in close collaboration with ISOVIS members, other research groups of the department, and domain experts within the Linnaeus University Centre for Data Intensive Sciences and Applications ([https://lnu.se/en/research/research-groups/linnaeus-university-centre-for-data-intensive-sciences-and-applications/ DISA]). The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to the reporting of the results in publications.<br />
<br />
In this context, the postdoc fellow is expected to regularly present intermediate/final research results at international conferences/workshops and publish them in highly-ranked conference proceedings and journals in the areas of information visualization, visual analytics, but possibly also in the areas of the domain experts.<br />
<br />
Within the DISA environment, large and complex data sets from various domain areas need to be efficiently visualized to transform data into useful information and new knowledge by the development of visualization principles, techniques and visual analytics tools, including provisioning suitable backend infrastructures to serve web-based, interactive visualizations.<br />
<br />
To the extent of maximal 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels (incl. supervision of Bachelor’s and Master’s thesis projects). The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
==Your qualifications==<br />
<br />
Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application. Eligibility for this position also requires that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent written and oral communication skills in English are required.<br />
<br />
Excellent knowledge in the focused research areas of information visualization and visual analytics is a strong advantage. Good programming skills (Java, JavaScript, HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Experience of teaching at undergraduate and/or advanced levels in the field is desirable. Documented expertise and working experience within at least one of the following research and educational areas is a great advantage: <br />
<br />
* Visual analytics of Big Data<br />
* Multidimensional visualization techniques in combination with machine learning and/or data mining techniques<br />
* Visual text/network/software analytics<br />
* Explainable AI/ML using visualization<br />
* Experiences in specific application domains and their visualization needs, such as in digital humanities, social sciences, engineering sciences, life sciences, etc.<br />
<br />
Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants. Proven track record of publication will be preferable.<br />
<br />
Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to a successful development of the research environment.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1019-2.2.1) will be received until '''January 9, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:12/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-12-04:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Linnaeus_University,_Sweden._(Deadline:_January_9,_2023)&diff=1605782022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)2022-12-04T11:29:41Z<p>Kerren: /* Your work assignments */</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The postdoc fellow will conduct research within the fields of information visualization and visual analytics in close collaboration with ISOVIS members, other research groups of the department, and domain experts within the Linnaeus University Centre for Data Intensive Sciences and Applications ([https://lnu.se/en/research/research-groups/linnaeus-university-centre-for-data-intensive-sciences-and-applications/ DISA]). The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to the reporting of the results in publications.<br />
<br />
In this context, the postdoc fellow is expected to regularly present intermediate/final research results at international conferences/workshops and publish them in highly-ranked conference proceedings and journals in the areas of information visualization, visual analytics, but possibly also in the areas of the domain experts.<br />
<br />
Within the DISA environment, large and complex data sets from various domain areas need to be efficiently visualized to transform data into useful information and new knowledge by the development of visualization principles, techniques and visual analytics tools, including provisioning suitable backend infrastructures to serve web-based, interactive visualizations.<br />
<br />
To the extent of maximal 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels (incl. supervision of Bachelor’s and Master’s thesis projects). The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
==Your qualifications==<br />
<br />
Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application. Eligibility for this position also requires that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent written and oral communication skills in English are required.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1019-2.2.1) will be received until '''January 9, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:12/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-12-04:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Linnaeus_University,_Sweden._(Deadline:_January_9,_2023)&diff=1605772022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)2022-12-04T11:25:49Z<p>Kerren: Created page with "<center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR> <center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR> ==Your workplace== The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by Professor Andreas Kerren. The research group mai..."</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your work assignments==<br />
<br />
The postdoc fellow will conduct research within the fields of information visualization and visual analytics in close collaboration with ISOVIS members, other research groups of the department, and domain experts within the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA). The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to the reporting of the results in publications.<br />
<br />
In this context, the postdoc fellow is expected to regularly present intermediate/final research results at international conferences/workshops and publish them in highly-ranked conference proceedings and journals in the areas of information visualization, visual analytics, but possibly also in the areas of the domain experts.<br />
<br />
Within the DISA environment, large and complex data sets from various domain areas need to be efficiently visualized to transform data into useful information and new knowledge by the development of visualization principles, techniques and visual analytics tools, including provisioning suitable backend infrastructures to serve web-based, interactive visualizations.<br />
<br />
To the extent of maximal 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels (incl. supervision of Bachelor’s and Master’s thesis projects). The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.<br />
<br />
==Your qualifications==<br />
<br />
Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application. Eligibility for this position also requires that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent written and oral communication skills in English are required.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK '''https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7014&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: 2022/1019-2.2.1) will be received until '''January 9, 2023'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:12/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160576Template:News2022-12-04T11:17:28Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
<!-- 2) "Save page" --><br />
<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
<!-- 4.1) [[Category:News]] --><br />
<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]<br />
*[[2022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)]]<br />
*[[2021-04-28: CFP: AIMH - Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (Deadline: May 9, 2022 EXTENDED)]]<br />
*[[2022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)]]<br />
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]<br />
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]<br />
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]<br />
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]<br />
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-10-03:_CFP:_Special_Issue_of_Information_Visualization_on_Visual_Text_Analytics_(Deadline:_January_31,_2023)&diff=1605732022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)2022-10-03T13:59:43Z<p>Kerren: /* Special Issue of Information Visualization on Visual Text Analytics */</p>
<hr />
<div>==CALL FOR PAPERS==<br />
<br />
===Special Issue of Information Visualization on Visual Text Analytics===<br />
<br />
<b>Submission deadline: January 31, 2023</b><br><br />
Expected publication: September 2023<br />
<br />
Visualizing textual information is a particularly challenging area of information visualization and visual analytics research. The types of data processing and analytic algorithms differ greatly from tabular or geospatial data, and the visualization techniques have additional constraints to consider, including the provision of context for text fragments of similar or different size and structure, depicting embeddings and high dimensional representations, and ensuring legibility of text incorporated into visualizations. The wide variation in data is accompanied by the difficulties in inferring the semantic meaning of ambiguous terms, or determining the referencing between subsequent statements.<br />
<br />
We invite the community to submit new articles examining the challenges and successes when applying information visualization to text analytics. Articles may focus on theories, methodologies, techniques and evaluations of visual text analytics approaches and systems. Articles that specifically explore the state of research within the specific theme of this special issue are also welcome, but position papers are not in the focus of the journal. Specific topics of interest, all in context of visual text analytics, are for instance<br />
<br />
* Text Data Sources and Diversity<br />
* Model Explainability and Interpretability<br />
* Evaluation and Experimental Designs<br />
* Perceptual Issues Depicting Data with Text<br />
* Representation and Visualization of Text and Documents<br />
* Interaction Design in Visual Text Analytics<br />
* Toolkits and Standards<br />
* Text Visualization Literacy<br />
* Generating Text to Accompany Visualizations<br />
* Uncertainty Localization and Propagation in Text Visualization<br />
* Support for Text Data Annotation<br />
* Visual Analysis of Bias in Text Analytics<br />
<br />
Inquiries can be made to any of the guest editors. Please inform the guest editors of your intent to submit. For further author information and submission guidelines, we refer to the following web page:<br />
<br />
<center>[https://journals.sagepub.com/page/ivi/virtualspecialcollections ''https://journals.sagepub.com/page/ivi/virtualspecialcollections'']</center><br />
<br />
===Guest Editors===<br />
* Christopher Collins (Ontario Tech University, Canada), christopher.collins@ontariotechu.ca<br />
* Antske Fokkens (Free University Amsterdam, Netherlands), antske.fokkens@vu.nl<br />
* [[Kerren, Andreas|Andreas Kerren]] (Linköping University and Linnaeus University, Sweden), andreas.kerren@liu.se<br />
* Chris Weaver (University of Oklahoma, USA), cweaver@ou.edu<br />
<br />
[[Category: News]][[Category: 10/2022]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-10-03:_CFP:_Special_Issue_of_Information_Visualization_on_Visual_Text_Analytics_(Deadline:_January_31,_2023)&diff=1605722022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)2022-10-03T13:55:49Z<p>Kerren: /* Guest Editors */</p>
<hr />
<div>==CALL FOR PAPERS==<br />
<br />
===Special Issue of Information Visualization on Visual Text Analytics===<br />
<br />
<b>Submission deadline: January 31, 2023</b><br><br />
<b>Expected publication: September 2023</b><br />
<br />
Visualizing textual information is a particularly challenging area of information visualization and visual analytics research. The types of data processing and analytic algorithms differ greatly from tabular or geospatial data, and the visualization techniques have additional constraints to consider, including the provision of context for text fragments of similar or different size and structure, depicting embeddings and high dimensional representations, and ensuring legibility of text incorporated into visualizations. The wide variation in data is accompanied by the difficulties in inferring the semantic meaning of ambiguous terms, or determining the referencing between subsequent statements.<br />
<br />
We invite the community to submit new articles examining the challenges and successes when applying information visualization to text analytics. Articles may focus on theories, methodologies, techniques and evaluations of visual text analytics approaches and systems. Articles that specifically explore the state of research within the specific theme of this special issue are also welcome, but position papers are not in the focus of the journal. Specific topics of interest, all in context of visual text analytics, are for instance<br />
<br />
* Text Data Sources and Diversity<br />
* Model Explainability and Interpretability<br />
* Evaluation and Experimental Designs<br />
* Perceptual Issues Depicting Data with Text<br />
* Representation and Visualization of Text and Documents<br />
* Interaction Design in Visual Text Analytics<br />
* Toolkits and Standards<br />
* Text Visualization Literacy<br />
* Generating Text to Accompany Visualizations<br />
* Uncertainty Localization and Propagation in Text Visualization<br />
* Support for Text Data Annotation<br />
* Visual Analysis of Bias in Text Analytics<br />
<br />
Inquiries can be made to any of the guest editors. Please inform the guest editors of your intent to submit. For further author information and submission guidelines, we refer to the following web page:<br />
<br />
<center>[https://journals.sagepub.com/page/ivi/virtualspecialcollections ''https://journals.sagepub.com/page/ivi/virtualspecialcollections'']</center><br />
<br />
===Guest Editors===<br />
* Christopher Collins (Ontario Tech University, Canada), christopher.collins@ontariotechu.ca<br />
* Antske Fokkens (Free University Amsterdam, Netherlands), antske.fokkens@vu.nl<br />
* [[Kerren, Andreas|Andreas Kerren]] (Linköping University and Linnaeus University, Sweden), andreas.kerren@liu.se<br />
* Chris Weaver (University of Oklahoma, USA), cweaver@ou.edu<br />
<br />
[[Category: News]][[Category: 10/2022]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-10-03:_CFP:_Special_Issue_of_Information_Visualization_on_Visual_Text_Analytics_(Deadline:_January_31,_2023)&diff=1605712022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)2022-10-03T13:53:26Z<p>Kerren: /* Special Issue of Information Visualization on Visual Text Analytics */</p>
<hr />
<div>==CALL FOR PAPERS==<br />
<br />
===Special Issue of Information Visualization on Visual Text Analytics===<br />
<br />
<b>Submission deadline: January 31, 2023</b><br><br />
<b>Expected publication: September 2023</b><br />
<br />
Visualizing textual information is a particularly challenging area of information visualization and visual analytics research. The types of data processing and analytic algorithms differ greatly from tabular or geospatial data, and the visualization techniques have additional constraints to consider, including the provision of context for text fragments of similar or different size and structure, depicting embeddings and high dimensional representations, and ensuring legibility of text incorporated into visualizations. The wide variation in data is accompanied by the difficulties in inferring the semantic meaning of ambiguous terms, or determining the referencing between subsequent statements.<br />
<br />
We invite the community to submit new articles examining the challenges and successes when applying information visualization to text analytics. Articles may focus on theories, methodologies, techniques and evaluations of visual text analytics approaches and systems. Articles that specifically explore the state of research within the specific theme of this special issue are also welcome, but position papers are not in the focus of the journal. Specific topics of interest, all in context of visual text analytics, are for instance<br />
<br />
* Text Data Sources and Diversity<br />
* Model Explainability and Interpretability<br />
* Evaluation and Experimental Designs<br />
* Perceptual Issues Depicting Data with Text<br />
* Representation and Visualization of Text and Documents<br />
* Interaction Design in Visual Text Analytics<br />
* Toolkits and Standards<br />
* Text Visualization Literacy<br />
* Generating Text to Accompany Visualizations<br />
* Uncertainty Localization and Propagation in Text Visualization<br />
* Support for Text Data Annotation<br />
* Visual Analysis of Bias in Text Analytics<br />
<br />
Inquiries can be made to any of the guest editors. Please inform the guest editors of your intent to submit. For further author information and submission guidelines, we refer to the following web page:<br />
<br />
<center>[https://journals.sagepub.com/page/ivi/virtualspecialcollections ''https://journals.sagepub.com/page/ivi/virtualspecialcollections'']</center><br />
<br />
===Guest Editors===<br />
* Christopher Collins (Ontario Tech University, Canada), christopher.collins@ontariotechu.ca<br />
* Antske Fokkens (Free University Amsterdam, Netherlands), antske.fokkens@vu.nl<br />
* Andreas Kerren (Linköping University and Linnaeus University, Sweden), andreas.kerren@liu.se<br />
* Chris Weaver (University of Oklahoma, USA), cweaver@ou.edu<br />
<br />
[[Category: News]][[Category: 10/2022]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-10-03:_CFP:_Special_Issue_of_Information_Visualization_on_Visual_Text_Analytics_(Deadline:_January_31,_2023)&diff=1605702022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)2022-10-03T13:52:47Z<p>Kerren: </p>
<hr />
<div>==CALL FOR PAPERS==<br />
<br />
===Special Issue of Information Visualization on Visual Text Analytics===<br />
<br />
<b>Submission deadline: January 31, 2023</b><br />
<b>Expected publication: September 2023</b><br />
<br />
Visualizing textual information is a particularly challenging area of information visualization and visual analytics research. The types of data processing and analytic algorithms differ greatly from tabular or geospatial data, and the visualization techniques have additional constraints to consider, including the provision of context for text fragments of similar or different size and structure, depicting embeddings and high dimensional representations, and ensuring legibility of text incorporated into visualizations. The wide variation in data is accompanied by the difficulties in inferring the semantic meaning of ambiguous terms, or determining the referencing between subsequent statements.<br />
<br />
We invite the community to submit new articles examining the challenges and successes when applying information visualization to text analytics. Articles may focus on theories, methodologies, techniques and evaluations of visual text analytics approaches and systems. Articles that specifically explore the state of research within the specific theme of this special issue are also welcome, but position papers are not in the focus of the journal. Specific topics of interest, all in context of visual text analytics, are for instance<br />
<br />
* Text Data Sources and Diversity<br />
* Model Explainability and Interpretability<br />
* Evaluation and Experimental Designs<br />
* Perceptual Issues Depicting Data with Text<br />
* Representation and Visualization of Text and Documents<br />
* Interaction Design in Visual Text Analytics<br />
* Toolkits and Standards<br />
* Text Visualization Literacy<br />
* Generating Text to Accompany Visualizations<br />
* Uncertainty Localization and Propagation in Text Visualization<br />
* Support for Text Data Annotation<br />
* Visual Analysis of Bias in Text Analytics<br />
<br />
Inquiries can be made to any of the guest editors. Please inform the guest editors of your intent to submit. For further author information and submission guidelines, we refer to the following web page:<br />
<br />
<center>[https://journals.sagepub.com/page/ivi/virtualspecialcollections ''https://journals.sagepub.com/page/ivi/virtualspecialcollections'']</center><br><br />
<br />
===Guest Editors===<br />
* Christopher Collins (Ontario Tech University, Canada), christopher.collins@ontariotechu.ca<br />
* Antske Fokkens (Free University Amsterdam, Netherlands), antske.fokkens@vu.nl<br />
* Andreas Kerren (Linköping University and Linnaeus University, Sweden), andreas.kerren@liu.se<br />
* Chris Weaver (University of Oklahoma, USA), cweaver@ou.edu<br />
<br />
[[Category: News]][[Category: 10/2022]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-10-03:_CFP:_Special_Issue_of_Information_Visualization_on_Visual_Text_Analytics_(Deadline:_January_31,_2023)&diff=1605692022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)2022-10-03T13:51:30Z<p>Kerren: Created page with "==CALL FOR PAPERS== ===Special Issue of Information Visualization on Visual Text Analytics=== <b>Submission deadline: January 31, 2023</b> <b>Expected publication: September 2023</b> Visualizing textual information is a particularly challenging area of information visualization and visual analytics research. The types of data processing and analytic algorithms differ greatly from tabular or geospatial data, and the visualization techniques have additional constraint..."</p>
<hr />
<div>==CALL FOR PAPERS==<br />
<br />
===Special Issue of Information Visualization on Visual Text Analytics===<br />
<br />
<b>Submission deadline: January 31, 2023</b><br />
<b>Expected publication: September 2023</b><br />
<br />
Visualizing textual information is a particularly challenging area of information visualization and visual analytics research. The types of data processing and analytic algorithms differ greatly from tabular or geospatial data, and the visualization techniques have additional constraints to consider, including the provision of context for text fragments of similar or different size and structure, depicting embeddings and high dimensional representations, and ensuring legibility of text incorporated into visualizations. The wide variation in data is accompanied by the difficulties in inferring the semantic meaning of ambiguous terms, or determining the referencing between subsequent statements.<br />
<br />
We invite the community to submit new articles examining the challenges and successes when applying information visualization to text analytics. Articles may focus on theories, methodologies, techniques and evaluations of visual text analytics approaches and systems. Articles that specifically explore the state of research within the specific theme of this special issue are also welcome, but position papers are not in the focus of the journal. Specific topics of interest, all in context of visual text analytics, are for instance<br />
<br />
* Text Data Sources and Diversity<br />
* Model Explainability and Interpretability<br />
* Evaluation and Experimental Designs<br />
* Perceptual Issues Depicting Data with Text<br />
* Representation and Visualization of Text and Documents<br />
* Interaction Design in Visual Text Analytics<br />
* Toolkits and Standards<br />
* Text Visualization Literacy<br />
* Generating Text to Accompany Visualizations<br />
* Uncertainty Localization and Propagation in Text Visualization<br />
* Support for Text Data Annotation<br />
* Visual Analysis of Bias in Text Analytics<br />
<br />
Inquiries can be made to any of the guest editors. Please inform the guest editors of your intent to submit. For further author information and submission guidelines, we refer to the following web page:<br />
<br />
<center>[https://journals.sagepub.com/page/ivi/virtualspecialcollections ''https://journals.sagepub.com/page/ivi/virtualspecialcollections'']</center><br><br />
<br />
===Guest Editors===<br />
Christopher Collins (Ontario Tech University, Canada), christopher.collins@ontariotechu.ca<br />
Antske Fokkens (Free University Amsterdam, Netherlands), antske.fokkens@vu.nl<br />
Andreas Kerren (Linköping University and Linnaeus University, Sweden), andreas.kerren@liu.se<br />
Chris Weaver (University of Oklahoma, USA), cweaver@ou.edu</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160568Template:News2022-10-03T13:44:55Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
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<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
<!-- 4.1) [[Category:News]] --><br />
<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)]]<br />
*[[2021-04-28: CFP: AIMH - Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (Deadline: May 9, 2022 EXTENDED)]]<br />
*[[2022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)]]<br />
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]<br />
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]<br />
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]<br />
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]<br />
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Kerren,_Andreas&diff=160567Kerren, Andreas2022-06-20T14:30:04Z<p>Kerren: </p>
<hr />
<div>'''Andreas Kerren''' is currently a Professor of Information Visualization at the Department of Science and Technology (ITN) of [https://liu.se/en Linköping University (LiU)], Sweden, and head of the Information Visualization research group. He is also an affiliated Professor in Computer Science (part-time) at the Department of Computer Science of [http://lnu.se/?l=en Linnaeus University (LNU)], Sweden, where he is heading the research group for Information and Software Visualization, called ISOVIS. Dr. Kerren has served in a large number of program and organizing committees and as reviewer for several international journals and distinguished conferences. His main research interests include the areas of Information Visualization, Software Visualization, Visual Analytics, and Human-Computer Interaction. Dr. Kerren is a senior member of the ACM, the IEEE Computer Society, and a member of the Eurographics Association as well as of various networks such as the IFIP Working Group 13.7: HCI and Visualization. <br />
<br />
== External links ==<br />
<br />
*[https://weber.itn.liu.se/~andke01/ Andreas Kerren's Home Page]<br />
*[https://cs.lnu.se/isovis/ ISOVIS group @ LNU]<br />
*[https://ivis.itn.liu.se iVis group @ LiU]<br />
<br />
[[Category:Persons]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-04-28:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_May_20,_2022)&diff=1605632022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)2022-04-28T14:34:48Z<p>Kerren: </p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the Information Visualization research unit ([https://liu.se/en/research/ivis iVis]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies.<br />
<br />
This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.<br />
<br />
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of- systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/<br />
<br />
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving the people ́s lives, detecting and treating diseases, protecting biodiversity and creatingsustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more: https://www.scilifelab.se/data-driven<br />
<br />
==Your work assignments==<br />
<br />
The above-mentioned collaboration between WASP and DDLS will be performed in the context of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Systems Biology group at the Royal Institute of Technology (KTH) and the Information Visualization group at Linköping University (LiU) work closely together.<br />
<br />
There is a need for a functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. The new data-driven strategy to be developed in the project is based on interpretable unsupervised learning (e.g., dimensionality reduction and clustering) of whole-body co-expression patterns, supported by state-of-the-art visual analytics. Interactive guiding of the clustering process will be used to explore the gene expression landscape in humans and other mammalian species, and to create a whole-body map of all protein-coding genes in all major cell types, tissues and organs. This will allow for the improvement of the quality of the classification of all protein-coding genes according to their whole-body co-expression patterns, resulting in every gene being annotated to a unique expression cluster together with other genes with a similar body-wide pattern.<br />
<br />
The focus of this advertised Postdoc position at LiU will be on research and development of an interactive and interpretable (human-in-the-loop) clustering strategy to reach these goals. The successful candidate will develop visual analytics approaches that provide fine-grained quality analysis of the clustering processes and better interpretation/annotation of clusters.<br />
<br />
Duties consist mainly of the following:<br />
* Research within the fields of information visualization and visual analytics (in context of the project aims).<br />
* Regularly present intermediate/final research results at international conferences and workshops, and publish them in top-tier conference proceedings and journals.<br />
* Close collaboration with the other project members in our interdisciplinary research project (especially with the second Postdoc to be hired in the partner group at KTH) as well as domain experts in the life sciences.<br />
<br />
As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.<br />
<br />
==Your qualifications==<br />
<br />
To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.<br />
<br />
It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.<br />
<br />
Eligibility for this position also requires a PhD degree in Computer/Data Science and that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent knowledge in the focused research area of information visualization and visual analytics is a strong advantage. Research experiences in the visual analysis of biological data sets are a great asset as well. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, unsupervised learning (dimensionality reduction and clustering), supervised machine learning.<br />
<br />
Excellent written and oral communication skills in English are required. Teamwork experiences should also be documented in the application.<br />
<br />
Great emphasis will be placed on personal qualities and suitability.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18950&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18950&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2022-01774) will be received until '''May 20, 2022'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:04/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-04-28:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_May_20,_2022)&diff=1605622022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)2022-04-28T14:33:43Z<p>Kerren: Created page with "<center><span style="font-size:160%">'''PostDoc in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR> <center..."</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the Information Visualization research unit ([https://liu.se/en/research/ivis iVis]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies.<br />
<br />
This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.<br />
<br />
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of- systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/<br />
<br />
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving the people ́s lives, detecting and treating diseases, protecting biodiversity and creatingsustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more: https://www.scilifelab.se/data-driven<br />
<br />
==Your work assignments==<br />
<br />
The above-mentioned collaboration between WASP and DDLS will be performed in the context of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Systems Biology group at the Royal Institute of Technology (KTH) and the Information Visualization group at Linköping University (LiU) work closely together.<br />
<br />
There is a need for a functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. The new data-driven strategy to be developed in the project is based on interpretable unsupervised learning (e.g., dimensionality reduction and clustering) of whole-body co-expression patterns, supported by state-of-the-art visual analytics. Interactive guiding of the clustering process will be used to explore the gene expression landscape in humans and other mammalian species, and to create a whole-body map of all protein-coding genes in all major cell types, tissues and organs. This will allow for the improvement of the quality of the classification of all protein-coding genes according to their whole-body co-expression patterns, resulting in every gene being annotated to a unique expression cluster together with other genes with a similar body-wide pattern.<br />
<br />
The focus of this advertised Postdoc position at LiU will be on research and development of an interactive and interpretable (human-in-the-loop) clustering strategy to reach these goals. The successful candidate will develop visual analytics approaches that provide fine-grained quality analysis of the clustering processes and better interpretation/annotation of clusters.<br />
<br />
Duties consist mainly of the following:<br />
* Research within the fields of information visualization and visual analytics (in context of the project aims).<br />
* Regularly present intermediate/final research results at international conferences and workshops, and publish them in top-tier conference proceedings and journals.<br />
* Close collaboration with the other project members in our interdisciplinary research project (especially with the second Postdoc to be hired in the partner group at KTH) as well as domain experts in the life sciences.<br />
<br />
As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.<br />
<br />
==Your qualifications==<br />
<br />
To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.<br />
<br />
It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.<br />
<br />
Eligibility for this position also requires a PhD degree in Computer/Data Science and that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent knowledge in the focused research area of information visualization and visual analytics is a strong advantage. Research experiences in the visual analysis of biological data sets are a great asset as well. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, unsupervised learning (dimensionality reduction and clustering), supervised machine learning.<br />
<br />
Excellent written and oral communication skills in English are required. Teamwork experiences should also be documented in the application.<br />
<br />
Great emphasis will be placed on personal qualities and suitability.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18950&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18950&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2022-00141) will be received until '''May 20, 2022'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:04/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160561Template:News2022-04-28T14:30:02Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
<!-- 2) "Save page" --><br />
<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
<!-- 4.1) [[Category:News]] --><br />
<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)]]<br />
*[[2021-02-25: CFP: AIMH - Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (Deadline: March 15, 2022)]]<br />
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]<br />
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]<br />
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]<br />
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]<br />
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-01-23:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_February_28,_2022)&diff=1605552022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)2022-01-28T18:25:20Z<p>Kerren: /* Your workplace */</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the Information Visualization research unit ([https://liu.se/en/research/ivis iVis]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies.<br />
<br />
This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.<br />
<br />
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of- systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/<br />
<br />
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving the people ́s lives, detecting and treating diseases, protecting biodiversity and creatingsustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more: https://www.scilifelab.se/data-driven<br />
<br />
==Your work assignments==<br />
<br />
The above-mentioned collaboration between WASP and DDLS will be performed in the context of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Systems Biology group at the Royal Institute of Technology (KTH) and the Information Visualization group at Linköping University (LiU) work closely together.<br />
<br />
There is a need for a functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. The new data-driven strategy to be developed in the project is based on interpretable unsupervised learning (e.g., dimensionality reduction and clustering) of whole-body co-expression patterns, supported by state-of-the-art visual analytics. Interactive guiding of the clustering process will be used to explore the gene expression landscape in humans and other mammalian species, and to create a whole-body map of all protein-coding genes in all major cell types, tissues and organs. This will allow for the improvement of the quality of the classification of all protein-coding genes according to their whole-body co-expression patterns, resulting in every gene being annotated to a unique expression cluster together with other genes with a similar body-wide pattern.<br />
<br />
The focus of this advertised Postdoc position at LiU will be on research and development of an interactive and interpretable (human-in-the-loop) clustering strategy to reach these goals. The successful candidate will develop visual analytics approaches that provide fine-grained quality analysis of the clustering processes and better interpretation/annotation of clusters.<br />
<br />
Duties consist mainly of the following:<br />
* Research within the fields of information visualization and visual analytics (in context of the project aims).<br />
* Regularly present intermediate/final research results at international conferences and workshops, and publish them in top-tier conference proceedings and journals.<br />
* Close collaboration with the other project members in our interdisciplinary research project (especially with the second Postdoc to be hired in the partner group at KTH) as well as domain experts in the life sciences.<br />
<br />
As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.<br />
<br />
==Your qualifications==<br />
<br />
To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.<br />
<br />
It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.<br />
<br />
Eligibility for this position also requires a PhD degree in Computer/Data Science and that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent knowledge in the focused research area of information visualization and visual analytics is a strong advantage. Research experiences in the visual analysis of biological data sets are a great asset as well. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, unsupervised learning (dimensionality reduction and clustering), supervised machine learning.<br />
<br />
Excellent written and oral communication skills in English are required. Teamwork experiences should also be documented in the application.<br />
<br />
Great emphasis will be placed on personal qualities and suitability.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2022-00141) will be received until '''February 28, 2022'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:01/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-01-23:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_February_28,_2022)&diff=1605542022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)2022-01-23T15:31:16Z<p>Kerren: /* Your work assignments */</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the Information Visualization research unit ([https://liu.se/en/research/ivis iVis]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies.<br />
<br />
This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.<br />
<br />
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of- systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/<br />
<br />
==Your work assignments==<br />
<br />
The above-mentioned collaboration between WASP and DDLS will be performed in the context of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Systems Biology group at the Royal Institute of Technology (KTH) and the Information Visualization group at Linköping University (LiU) work closely together.<br />
<br />
There is a need for a functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. The new data-driven strategy to be developed in the project is based on interpretable unsupervised learning (e.g., dimensionality reduction and clustering) of whole-body co-expression patterns, supported by state-of-the-art visual analytics. Interactive guiding of the clustering process will be used to explore the gene expression landscape in humans and other mammalian species, and to create a whole-body map of all protein-coding genes in all major cell types, tissues and organs. This will allow for the improvement of the quality of the classification of all protein-coding genes according to their whole-body co-expression patterns, resulting in every gene being annotated to a unique expression cluster together with other genes with a similar body-wide pattern.<br />
<br />
The focus of this advertised Postdoc position at LiU will be on research and development of an interactive and interpretable (human-in-the-loop) clustering strategy to reach these goals. The successful candidate will develop visual analytics approaches that provide fine-grained quality analysis of the clustering processes and better interpretation/annotation of clusters.<br />
<br />
Duties consist mainly of the following:<br />
* Research within the fields of information visualization and visual analytics (in context of the project aims).<br />
* Regularly present intermediate/final research results at international conferences and workshops, and publish them in top-tier conference proceedings and journals.<br />
* Close collaboration with the other project members in our interdisciplinary research project (especially with the second Postdoc to be hired in the partner group at KTH) as well as domain experts in the life sciences.<br />
<br />
As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.<br />
<br />
==Your qualifications==<br />
<br />
To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.<br />
<br />
It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.<br />
<br />
Eligibility for this position also requires a PhD degree in Computer/Data Science and that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent knowledge in the focused research area of information visualization and visual analytics is a strong advantage. Research experiences in the visual analysis of biological data sets are a great asset as well. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, unsupervised learning (dimensionality reduction and clustering), supervised machine learning.<br />
<br />
Excellent written and oral communication skills in English are required. Teamwork experiences should also be documented in the application.<br />
<br />
Great emphasis will be placed on personal qualities and suitability.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2022-00141) will be received until '''February 28, 2022'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:01/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-01-23:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_February_28,_2022)&diff=1605532022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)2022-01-23T15:30:28Z<p>Kerren: /* Your workplace */</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the Information Visualization research unit ([https://liu.se/en/research/ivis iVis]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies.<br />
<br />
This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.<br />
<br />
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of- systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/<br />
<br />
==Your work assignments==<br />
<br />
The above-mentioned collaboration between WASP and DDLS will be performed in the context of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Systems Biology group at the Royal Institute of Technology (KTH) and the Information Visualization group at Linköping University (LiU) work closely together.<br />
<br />
There is a need for a functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. The new data-driven strategy to be developed in the project is based on interpretable unsupervised learning (e.g., dimensionality reduction and clustering) of whole-body co-expression patterns, supported by state-of-the-art visual analytics. Interactive guiding of the clustering process will be used to explore the gene expression landscape in humans and other mammalian species, and to create a whole-body map of all protein-coding genes in all major cell types, tissues and organs. This will allow for the improvement of the quality of the classification of all protein-coding genes according to their whole-body co-expression patterns, resulting in every gene being annotated to a unique expression cluster together with other genes with a similar body-wide pattern.<br />
<br />
The focus of this advertised Postdoc position at LiU will be on research and development of an interactive and interpretable (human-in-the-loop) clustering strategy to reach these goals. The successful candidate will develop visual analytics approaches that provide fine-grained quality analysis of the clustering processes and better interpretation/annotation of clusters.<br />
<br />
Duties consist mainly of the following:<br />
* Research within the fields of information visualization and visual analytics (in context of the project aims).<br />
* Regularly present intermediate/final research results at international conferences and workshops, and publish them in top-tier conference proceedings and journals.<br />
* Close collaboration with the other project members in our interdisciplinary research project (especially with the second Postdoc to be hired in the partner group at KTH) as well as domain experts in the life sciences.<br />
<br />
As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.<br />
<br />
<br />
==Your qualifications==<br />
<br />
To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.<br />
<br />
It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.<br />
<br />
Eligibility for this position also requires a PhD degree in Computer/Data Science and that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent knowledge in the focused research area of information visualization and visual analytics is a strong advantage. Research experiences in the visual analysis of biological data sets are a great asset as well. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, unsupervised learning (dimensionality reduction and clustering), supervised machine learning.<br />
<br />
Excellent written and oral communication skills in English are required. Teamwork experiences should also be documented in the application.<br />
<br />
Great emphasis will be placed on personal qualities and suitability.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2022-00141) will be received until '''February 28, 2022'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:01/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2022-01-23:_Job:_PostDoc_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_February_28,_2022)&diff=1605522022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)2022-01-23T15:29:55Z<p>Kerren: Created page with "<center><span style="font-size:160%">'''PostDoc in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR> <center..."</p>
<hr />
<div><center><span style="font-size:160%">'''PostDoc in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be affiliated to the Information Visualization research unit ([https://liu.se/en/research/ivis iVis group]) led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies.<br />
<br />
This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.<br />
<br />
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of- systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/<br />
<br />
==Your work assignments==<br />
<br />
The above-mentioned collaboration between WASP and DDLS will be performed in the context of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Systems Biology group at the Royal Institute of Technology (KTH) and the Information Visualization group at Linköping University (LiU) work closely together.<br />
<br />
There is a need for a functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. The new data-driven strategy to be developed in the project is based on interpretable unsupervised learning (e.g., dimensionality reduction and clustering) of whole-body co-expression patterns, supported by state-of-the-art visual analytics. Interactive guiding of the clustering process will be used to explore the gene expression landscape in humans and other mammalian species, and to create a whole-body map of all protein-coding genes in all major cell types, tissues and organs. This will allow for the improvement of the quality of the classification of all protein-coding genes according to their whole-body co-expression patterns, resulting in every gene being annotated to a unique expression cluster together with other genes with a similar body-wide pattern.<br />
<br />
The focus of this advertised Postdoc position at LiU will be on research and development of an interactive and interpretable (human-in-the-loop) clustering strategy to reach these goals. The successful candidate will develop visual analytics approaches that provide fine-grained quality analysis of the clustering processes and better interpretation/annotation of clusters.<br />
<br />
Duties consist mainly of the following:<br />
* Research within the fields of information visualization and visual analytics (in context of the project aims).<br />
* Regularly present intermediate/final research results at international conferences and workshops, and publish them in top-tier conference proceedings and journals.<br />
* Close collaboration with the other project members in our interdisciplinary research project (especially with the second Postdoc to be hired in the partner group at KTH) as well as domain experts in the life sciences.<br />
<br />
As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.<br />
<br />
<br />
==Your qualifications==<br />
<br />
To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.<br />
<br />
It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.<br />
<br />
Eligibility for this position also requires a PhD degree in Computer/Data Science and that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.<br />
<br />
Excellent knowledge in the focused research area of information visualization and visual analytics is a strong advantage. Research experiences in the visual analysis of biological data sets are a great asset as well. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, unsupervised learning (dimensionality reduction and clustering), supervised machine learning.<br />
<br />
Excellent written and oral communication skills in English are required. Teamwork experiences should also be documented in the application.<br />
<br />
Great emphasis will be placed on personal qualities and suitability.<br />
<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2022-00141) will be received until '''February 28, 2022'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:01/2022]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160551Template:News2022-01-23T15:22:10Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
<!-- 2) "Save page" --><br />
<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
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<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]<br />
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]<br />
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]<br />
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]<br />
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2021-07-01:_Job:_PhD_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_August_20,_2021)&diff=1603482021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)2021-07-02T07:18:31Z<p>Kerren: /* Your work assignments */</p>
<hr />
<div><center><span style="font-size:160%">'''PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your work assignments==<br />
<br />
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.<br />
<br />
The focus of this advertised PhD position and the corresponding research project will be on the <b>web-based visualization of large and complex, multivariate networks and/or text data</b>. Related aspects, such as network embeddings, visual analysis of multilayer networks, or explainable AI for network/text analyses, might also be studied. The PhD student will develop foundational visualization principles, techniques and visual analytics tools for analyzing heterogeneous network/text data coming from various data sources, such as social media data or data sets from specific application domains. The work will even include the development and provisioning of a suitable backend infrastructure to serve the web-based, interactive visual display with the needed original and derived data streams, and/or user data collected during the analytical process (for instance, to provide collaboration features and/or adaptivity).<br />
<br />
Duties consist mainly of the following:<br />
* Graduate studies in the field of information visualization/visual analytics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks).<br />
* Research in the field information visualization/visual analytics.<br />
* Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.<br />
* Close collaboration with the other group members in an interdisciplinary research environment as well as with domain experts.<br />
* At most 20% of the total working time will be dedicated to teaching and other administrative departmental tasks<br />
<br />
<i>Note that a PhD position in Sweden is a salaried employment with the right to social benefits and paid vacations.</i><br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [https://liu.se/en/research/ivis iVis group] led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in the life sciences, humanities, or environmental sciences. Our research vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your qualifications==<br />
<br />
You have graduated at Master’s level in the area of computer science, media technology, computer engineering, information technology or closely related topic or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.<br />
<br />
The work of a PhD student is driven by engagement, curiosity, creativity, problem solving, the ability to work independently, but also the ability and willingness to collaborate with fellow colleagues from different backgrounds. Required qualifications are:<br />
<br />
* A Master’s degree in the area of computer science, media technology, computer engineering, information technology or closely related topic from a recognized university. <br />
* A successfully finished Master’s thesis performed in a field related to Information Visualization, Visual Analytics, Human-Computer Interaction, or Data Science.<br />
* Excellent English communication skills, both verbal and written.<br />
<br />
Excellent knowledge in the focused research area of visualization and visual analytics of networks and/or text is a strong advantage. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, machine learning.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16881&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16881&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2021-02831) will be received until '''August 20, 2021'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:2021/07]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2021-07-01:_Job:_PhD_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_August_20,_2021)&diff=1603462021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)2021-07-02T07:17:21Z<p>Kerren: /* Your work assignments */</p>
<hr />
<div><center><span style="font-size:160%">'''PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your work assignments==<br />
<br />
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.<br />
<br />
The focus of this advertised PhD position and the corresponding research project will be on the <b>web-based visualization of large and complex, multivariate networks and/or text data</b>. Related aspects, such as network embeddings, visual analysis of multilayer networks, or explainable AI for network/text analyses, might also be studied. The PhD student will develop foundational visualization principles, techniques and visual analytics tools for analyzing heterogeneous network/text data coming from various data sources, such as social media data or data sets from specific application domains. The work will even include the development and provisioning of a suitable backend infrastructure to serve the web-based, interactive visual display with the needed original and derived data streams, and/or user data collected during the analytical process (for instance, to provide collaboration features and/or adaptivity).<br />
<br />
Duties consist mainly of the following:<br />
* Graduate studies in the field of information visualization/visual analytics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks).<br />
* Research in the field information visualization/visual analytics.<br />
* Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.<br />
* Close collaboration with the other group members in an interdisciplinary research environment as well as with domain experts.<br />
* At most 20% of the total working time will be dedicated to teaching and other administrative departmental tasks<br />
<br />
Note that a PhD position in Sweden is a salaried employment with the right to social benefits and paid vacations.<br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [https://liu.se/en/research/ivis iVis group] led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in the life sciences, humanities, or environmental sciences. Our research vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your qualifications==<br />
<br />
You have graduated at Master’s level in the area of computer science, media technology, computer engineering, information technology or closely related topic or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.<br />
<br />
The work of a PhD student is driven by engagement, curiosity, creativity, problem solving, the ability to work independently, but also the ability and willingness to collaborate with fellow colleagues from different backgrounds. Required qualifications are:<br />
<br />
* A Master’s degree in the area of computer science, media technology, computer engineering, information technology or closely related topic from a recognized university. <br />
* A successfully finished Master’s thesis performed in a field related to Information Visualization, Visual Analytics, Human-Computer Interaction, or Data Science.<br />
* Excellent English communication skills, both verbal and written.<br />
<br />
Excellent knowledge in the focused research area of visualization and visual analytics of networks and/or text is a strong advantage. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, machine learning.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16881&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16881&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2021-02831) will be received until '''August 20, 2021'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:2021/07]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2021-07-01:_Job:_PhD_Position_in_Information_Visualization_/_Visual_Analytics_at_Link%C3%B6ping_University,_Sweden._(Deadline:_August_20,_2021)&diff=1603452021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)2021-07-01T10:02:32Z<p>Kerren: Created page with "<center><span style="font-size:160%">'''PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR> <ce..."</p>
<hr />
<div><center><span style="font-size:160%">'''PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics'''</span></center><BR><br />
<center>'''placed at Linköping University, Department of Science and Technology, Faculty of Science and Engineering – Norrköping campus, Sweden'''</center><BR><br />
<br />
==Your work assignments==<br />
<br />
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.<br />
<br />
The focus of this advertised PhD position and the corresponding research project will be on the web-based visualization of large and complex, multivariate networks and/or text data. Related aspects, such as network embeddings, visual analysis of multilayer networks, or explainable AI for network/text analyses, might also be studied. The PhD student will develop foundational visualization principles, techniques and visual analytics tools for analyzing heterogeneous network/text data coming from various data sources, such as social media data or data sets from specific application domains. The work will even include the development and provisioning of a suitable backend infrastructure to serve the web-based, interactive visual display with the needed original and derived data streams, and/or user data collected during the analytical process (for instance, to provide collaboration features and/or adaptivity).<br />
<br />
Duties consist mainly of the following:<br />
* Graduate studies in the field of information visualization/visual analytics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks).<br />
* Research in the field information visualization/visual analytics.<br />
* Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.<br />
* Close collaboration with the other group members in an interdisciplinary research environment as well as with domain experts.<br />
* At most 20% of the total working time will be dedicated to teaching and other administrative departmental tasks<br />
<br />
Note that a PhD position in Sweden is a salaried employment with the right to social benefits and paid vacations.<br />
<br />
==Your workplace==<br />
<br />
The advertised position will be placed in the [https://liu.se/en/research/ivis iVis group] led by [[Kerren, Andreas|Professor Andreas Kerren]]. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in the life sciences, humanities, or environmental sciences. Our research vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.<br />
<br />
==Your qualifications==<br />
<br />
You have graduated at Master’s level in the area of computer science, media technology, computer engineering, information technology or closely related topic or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.<br />
<br />
The work of a PhD student is driven by engagement, curiosity, creativity, problem solving, the ability to work independently, but also the ability and willingness to collaborate with fellow colleagues from different backgrounds. Required qualifications are:<br />
<br />
* A Master’s degree in the area of computer science, media technology, computer engineering, information technology or closely related topic from a recognized university. <br />
* A successfully finished Master’s thesis performed in a field related to Information Visualization, Visual Analytics, Human-Computer Interaction, or Data Science.<br />
* Excellent English communication skills, both verbal and written.<br />
<br />
Excellent knowledge in the focused research area of visualization and visual analytics of networks and/or text is a strong advantage. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, machine learning.<br />
<br />
==How to apply==<br />
<br />
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page<BR><BR><br />
<br />
<center>[https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16881&rmlang=UK '''https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16881&rmlang=UK'']</center><br><br />
<br />
Online applications (reference number: LiU-2021-02831) will be received until '''August 20, 2021'''. <br />
<br />
<br />
[[Category:News]]<br />
[[Category:2021/07]]<br />
[[Category:Jobs]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160344Template:News2021-07-01T09:44:25Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
<!-- 2) "Save page" --><br />
<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
<!-- 4.1) [[Category:News]] --><br />
<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]<br />
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]<br />
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]<br />
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
*[[2020-03-10: VIS 2020 Deadline Extension]]<br />
*[[2019-11-12: CFP: ACM IUI 2020: Call for Student Consortium Papers]]<br />
*[[2019-11-09: CFP: ACM IUI 2020: Call for Demos and Posters]]<br />
*[[2019-10-17: CFP: BigVis 2020 : 3rd International Workshop on Big Data Visual Exploration and Analytics, Copenhagen, Denmark]]<br />
*[[2019-09-18: CFP: 11th International Conference on the Theory and Application of Diagrams 2020, Tallinn, Estonia]]<br />
*[[2019-06-30: CFP: ACM Intelligent User Interfaces - IUI Workshops and Tutorials 2020, Cagliari, Italy]]<br />
*[[2019-05-29: CFP: ACM Intelligent User Interfaces - IUI 2020, Cagliari, Italy]]<br />
*[[2019-05-29: CFP: VMV 2019, 24th International Symposium on Vision, Modeling, and Visualization, Deadline June 21, 2019]]<br />
*[[2019-04-29: CFP: GD 2019, 27th Symposium on Graph Drawing and Network Visualization, Deadline June 10, 2019]]<br />
*[[2019-02-04: CFP: EuroVA 2019, Deadline Mar. 7, 2019]]<br />
*[[2019-02-04: CFP: EuroVIS 2019, Short papers Deadline Feb. 28, 2019]]<br />
*[[2019-01-29: CFP: IEEE VIS 2019, Deadline (Abstracts Mar. 21) Mar. 31, 2019]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Kerren,_Andreas&diff=160325Kerren, Andreas2021-01-05T08:09:09Z<p>Kerren: </p>
<hr />
<div>'''Andreas Kerren''' is currently a Professor of Information Visualization at the Department of Science and Technology (ITN) of [https://liu.se/en Linköping University (LiU)], Sweden, and head of the Information Visualization research group. He is also an affiliated Professor in Computer Science (part-time) at the Department of Computer Science of [http://lnu.se/?l=en Linnaeus University (LNU)], Sweden, where he is heading the research group for Information and Software Visualization, called ISOVIS. Dr. Kerren has served in a large number of program and organizing committees and as reviewer for several international journals and distinguished conferences. His main research interests include the areas of Information Visualization, Software Visualization, Visual Analytics, and Human-Computer Interaction. Dr. Kerren is a senior member of the ACM, the IEEE Computer Society, and a member of the Eurographics Association as well as of various networks such as the IFIP Working Group 13.7: HCI and Visualization. <br />
<br />
== External links ==<br />
<br />
*[http://homepage.lnu.se/staff/akemsi/ Andreas Kerren's Home Page]<br />
*[http://cs.lnu.se/isovis/ ISOVIS group @ LNU]<br />
*[https://liu.se/en/research/information-visualization InfoVis group @ LiU]<br />
<br />
[[Category:Persons]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Kerren,_Andreas&diff=160324Kerren, Andreas2021-01-05T08:08:24Z<p>Kerren: </p>
<hr />
<div>'''Andreas Kerren''' is currently a Professor of Information Visualization at the Department of Science and Technology (ITN) of [http://liu.se/?l=en Linköping University (LiU)], Sweden, and head of the Information Visualization research group. He is also an affiliated Professor in Computer Science (part-time) at the Department of Computer Science of [http://lnu.se/?l=en Linnaeus University (LNU)], Sweden, where he is heading the research group for Information and Software Visualization, called ISOVIS. Dr. Kerren has served in a large number of program and organizing committees and as reviewer for several international journals and distinguished conferences. His main research interests include the areas of Information Visualization, Software Visualization, Visual Analytics, and Human-Computer Interaction. Dr. Kerren is a senior member of the ACM, the IEEE Computer Society, and a member of the Eurographics Association as well as of various networks such as the IFIP Working Group 13.7: HCI and Visualization. <br />
<br />
== External links ==<br />
<br />
*[http://homepage.lnu.se/staff/akemsi/ Andreas Kerren's Home Page]<br />
*[http://cs.lnu.se/isovis/ ISOVIS group @ LNU]<br />
*[https://liu.se/en/research/information-visualization InfoVis group @ LiU]<br />
<br />
[[Category:Persons]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Kerren,_Andreas&diff=160323Kerren, Andreas2021-01-05T08:08:03Z<p>Kerren: </p>
<hr />
<div>'''Andreas Kerren''' is currently a Professor of Information Visualization at the Department of Science and Technology (ITN) of [http://liu.se/?l=en Linköping University (LiU)], Sweden, and head of the Information Visualization research group. He is also an affiliated Professor in Computer Science (part-time) at the Department of Computer Science of [http://lnu.se/?l=en Linnaeus University (LNU)], Sweden, where he is heading the research group for Information and Software Visualization, called ISOVIS. Dr. Kerren has served in a large number of program and organizing committees and as reviewer for several international journals and distinguished conferences. His main research interests include the areas of Information Visualization, Software Visualization, Visual Analytics, and Human-Computer Interaction. Dr. Kerren is a senior member of the ACM, the IEEE Computer Society, and a member of the Eurographics Association as well as of various networks such as the IFIP Working Group 13.7: HCI and Visualization. <br />
<br />
== External links ==<br />
<br />
*[http://homepage.lnu.se/staff/akemsi/ Andreas Kerren's Home Page]<br />
*[http://cs.lnu.se/isovis/ ISOVIS group @ LNU]<br />
*[https://liu.se/en/research/information-visualization InfoVis group @ LNU]<br />
<br />
[[Category:Persons]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2020-10-20:_CFP:_EuroVis_2021,_Short_Papers_Submission_(Deadline:_March_1,_2021)&diff=1603122020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)2020-10-20T17:39:11Z<p>Kerren: </p>
<hr />
<div>23rd EG/VGTC Conference on Visualization, EuroVis 2021 (June 14-18, 2021, Z&uuml;rich, Switzerland) <br />
<br />
[https://www.eurovis.org/index.php/for-submitters/short-papers/ CALL FOR SHORT PAPERS]<br />
<br />
'''Due:''' March 1, 2021<br><br />
'''Notification:''' April 2, 2021<br />
<br />
EuroVis 2021 features a short paper track to present late-breaking results, work in progress, and follow-up extensions or evaluations of existing methods.<br />
<br />
A EuroVis short paper describes a more focused and concise research contribution and is likely to have a smaller — yet still significant — scope of contribution than a full paper. Short papers draw from the same paper types as full papers, as well as the same list of suggested topics.<br />
<br />
For detailed submission instructions, please see:<br />
[https://www.eurovis.org/index.php/for-submitters/short-papers/]<br />
<br />
<br />
[[Category: News]][[Category: 2020/10]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2020-10-20:_CFP:_EuroVis_2021,_Short_Papers_Submission_(Deadline:_March_1,_2021)&diff=1603112020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)2020-10-20T17:38:48Z<p>Kerren: </p>
<hr />
<div>23rd EG/VGTC Conference on Visualization, EuroVis 2021 (June 14-18, 2021, Z&uuml;rich, Switzerland) <br />
<br />
[https://www.eurovis.org/index.php/for-submitters/short-papers/ CALL FOR SHORT PAPERS]<br />
<br />
'''Due:''' March 1, 2021<br><br />
'''Notification:''' April 2, 2021<br />
<br />
Eurovis 2021 features a short paper track to present late-breaking results, work in progress, and follow-up extensions or evaluations of existing methods.<br />
<br />
A EuroVis short paper describes a more focused and concise research contribution and is likely to have a smaller — yet still significant — scope of contribution than a full paper. Short papers draw from the same paper types as full papers, as well as the same list of suggested topics.<br />
<br />
For detailed submission instructions, please see:<br />
[https://www.eurovis.org/index.php/for-submitters/short-papers/]<br />
<br />
<br />
[[Category: News]][[Category: 2020/10]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2020-10-20:_CFP:_EuroVis_2021,_Short_Papers_Submission_(Deadline:_March_1,_2021)&diff=1603102020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)2020-10-20T17:37:30Z<p>Kerren: Created page with "23rd EG/VGTC Conference on Visualization, EuroVis 2021 (June 14-18, 2021, Z&uuml;rich, Switzerland) [https://www.eurovis.org/index.php/for-submitters/short-papers/ CALL FOR..."</p>
<hr />
<div>23rd EG/VGTC Conference on Visualization, EuroVis 2021 (June 14-18, 2021, Z&uuml;rich, Switzerland) <br />
<br />
[https://www.eurovis.org/index.php/for-submitters/short-papers/ CALL FOR SHORT PAPERS]<br />
<br />
'''Due:''' March 1, 2021<br><br />
'''Notification:''' April 2, 2021<br />
<br />
Eurovis 2021 features a short paper track to present late-breaking results, work in progress, and follow-up extensions or evaluations of existing methods.<br />
<br />
A Eurovis short paper describes a more focused and concise research contribution and is likely to have a smaller — yet still significant — scope of contribution than a full paper. Short papers draw from the same paper types as full papers, as well as the same list of suggested topics.<br />
<br />
For detailed submission instructions, please see:<br />
[https://www.eurovis.org/index.php/for-submitters/short-papers/]<br />
<br />
<br />
[[Category: News]][[Category: 2020/10]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=160309Template:News2020-10-20T17:26:09Z<p>Kerren: </p>
<hr />
<div><h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1> <br />
<small>[[Help:How_To_Enter_News|How to enter news?]]</small><br />
<!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
<!-- 1) Insert a story headline below (including the current date). --><br />
<!-- Format: --><br />
<!-- *[[:News: YEAR-MONTH-DATE: TITLE]] --><br />
<!-- Example: *[[:News: 2013-08-27: InfoVis:Wiki upgrades to MediaWiki 1.21.1]] --><br />
<!-- 2) "Save page" --><br />
<!-- 3) Click newly created Wiki link and edit the text of your entry --><br />
<!-- 4) Assign TWO categories to your entry (News + Archive) --><br />
<!-- 4.1) [[Category:News]] --><br />
<!-- 4.2) [[Category:YEAR/MONTH]] (this is important for the archive) --> <br />
<!-- Example: [[Category:2013/08]] --><br />
<br />
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]<br />
*[[2020-09-07: CFP: PacificVIS 2021]]<br />
*[[2020-06-29: CFP: ACM IUI 2021]]<br />
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]<br />
*[[2020-03-10: VIS 2020 Deadline Extension]]<br />
*[[2019-11-12: CFP: ACM IUI 2020: Call for Student Consortium Papers]]<br />
*[[2019-11-09: CFP: ACM IUI 2020: Call for Demos and Posters]]<br />
*[[2019-10-17: CFP: BigVis 2020 : 3rd International Workshop on Big Data Visual Exploration and Analytics, Copenhagen, Denmark]]<br />
*[[2019-09-18: CFP: 11th International Conference on the Theory and Application of Diagrams 2020, Tallinn, Estonia]]<br />
*[[2019-06-30: CFP: ACM Intelligent User Interfaces - IUI Workshops and Tutorials 2020, Cagliari, Italy]]<br />
*[[2019-05-29: CFP: ACM Intelligent User Interfaces - IUI 2020, Cagliari, Italy]]<br />
*[[2019-05-29: CFP: VMV 2019, 24th International Symposium on Vision, Modeling, and Visualization, Deadline June 21, 2019]]<br />
*[[2019-04-29: CFP: GD 2019, 27th Symposium on Graph Drawing and Network Visualization, Deadline June 10, 2019]]<br />
*[[2019-02-04: CFP: EuroVA 2019, Deadline Mar. 7, 2019]]<br />
*[[2019-02-04: CFP: EuroVIS 2019, Short papers Deadline Feb. 28, 2019]]<br />
*[[2019-01-29: CFP: IEEE VIS 2019, Deadline (Abstracts Mar. 21) Mar. 31, 2019]]<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Interactive_Online_Surveys&diff=160283Interactive Online Surveys2020-05-30T14:20:04Z<p>Kerren: /* Visual Surveys */</p>
<hr />
<div>== Visual Surveys ==<br />
<br />
*[https://trustmlvis.lnu.se TrustMLVis Browser: A Visual Survey in Enhancing Trust in Machine Learning (ML) Models with Visualization]<br />
*[http://keshif.me/demo/VisTools Data-Visualization Tools & Books] Very comprehensive interactive browser for 400+ visualization tools and 80+ visualization books<br />
*[http://dynamicgraphs.fbeck.com Dynamic Graph Visualization]<br />
*[http://www.setviz.net SetViz: Visualizing Sets and Set-typed Data]<br />
*[http://spacetimecubevis.com Space-Time Cube Vis: A Review of Temporal Visualizations based on Space-Time Cube Operations]<br />
*[http://survey.timeviz.net The TimeViz Browser: A Visual Survey of Visualization Techniques for Time-Oriented Data]<br />
*[https://textvis.lnu.se Text Visualization Browser: A Visual Survey of Text Visualization Techniques]<br />
*[http://treevis.net treevis.net - A Visual Bibliography of Tree Visualization]<br />
*[http://idav.ucdavis.edu/~ki/STAR/ Performance Visualization]<br />
*[http://multivis.net/ Visualization and Visual Analysis of Multifaceted Scientific Data]<br />
*[http://www.vizipedia.com/ vizipedia - data visualization library]<br />
*[http://datavizcatalogue.com The Data Visualisation Catalogue]<br />
*[https://biovis.lnu.se BioVis Explorer: A Visual Guide to BioVis Techniques]<br />
*[http://ieg.ifs.tuwien.ac.at/~federico/LiPatVis/ PaperViz.org - A Survey on Visual Approaches for Analyzing Scientific Literature and Patents]<br />
*[http://sparklines-literature.fbeck.com Sparklines Literature]<br />
*[https://sentimentvis.lnu.se SentimentVis Browser: A Visual Survey of Sentiment Visualization Techniques]<br />
*[http://financevis.net Financevis.net: A Visual Survey of Financial Data Visualizations]<br />
*[http://dataphys.org/list/ List of Physical Visualizations and Related Artifacts]<br />
*[http://www.datavis.ca/milestones/ Data Visualisation Milestones]<br />
*[http://www.sci.utah.edu/~shusenl/highDimSurvey/website/ Visualizing High-Dimensional Data: Advances in the Past Decade]<br />
*[http://groups-in-graphs.corinna-vehlow.com Visualizing Group Structures in Graphs]<br />
*[http://www.cos.ufrj.br/~schots/survis_reuse/ Visualization of Software Reuse]<br />
*[http://matrixreordering.dbvis.de/#/ Matrix Reordering Survey]<br />
*[http://cartogram.cs.arizona.edu/survis-cartogram/ The State of the Art in Cartograms]<br />
*[https://docs.google.com/spreadsheets/d/1yJkf-Nt0kel8hojLZJQiJeWR5Qc-HHqvKvpRDVrfc9g/edit#gid=0 Visualization & Interactive Surfaces]<br />
*[https://www.data-to-viz.com From Data to Viz] leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.<br />
*[https://vizsec.dbvis.de/ Visualization for Cyber Security]<br />
<br />
[[Category:Web resources]][[Category:Surveys]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Interactive_Online_Surveys&diff=160282Interactive Online Surveys2020-05-30T14:18:30Z<p>Kerren: /* Visual Surveys */</p>
<hr />
<div>== Visual Surveys ==<br />
<br />
*[https://trustmlvis.lnu.se TrustMLVis Browser: A Visual Survey in Enhancing Trust in Machine Learning (ML) Models with Visualization]<br />
*[http://keshif.me/demo/VisTools Data-Visualization Tools & Books] Very comprehensive interactive browser for 400+ visualization tools and 80+ visualization books<br />
*[http://dynamicgraphs.fbeck.com Dynamic Graph Visualization]<br />
*[http://www.setviz.net SetViz: Visualizing Sets and Set-typed Data]<br />
*[http://spacetimecubevis.com Space-Time Cube Vis: A Review of Temporal Visualizations based on Space-Time Cube Operations]<br />
*[http://survey.timeviz.net The TimeViz Browser: A Visual Survey of Visualization Techniques for Time-Oriented Data]<br />
*[https://textvis.lnu.se Text Visualization Browser: A Visual Survey of Text Visualization Techniques]<br />
*[http://treevis.net treevis.net - A Visual Bibliography of Tree Visualization]<br />
*[http://idav.ucdavis.edu/~ki/STAR/ Performance Visualization]<br />
*[http://multivis.net/ Visualization and Visual Analysis of Multifaceted Scientific Data]<br />
*[http://www.vizipedia.com/ vizipedia - data visualization library]<br />
*[http://datavizcatalogue.com The Data Visualisation Catalogue]<br />
*[http://biovis.lnu.se BioVis Explorer: A Visual Guide to BioVis Techniques]<br />
*[http://ieg.ifs.tuwien.ac.at/~federico/LiPatVis/ PaperViz.org - A Survey on Visual Approaches for Analyzing Scientific Literature and Patents]<br />
*[http://sparklines-literature.fbeck.com Sparklines Literature]<br />
*[https://sentimentvis.lnu.se SentimentVis Browser: A Visual Survey of Sentiment Visualization Techniques]<br />
*[http://financevis.net Financevis.net: A Visual Survey of Financial Data Visualizations]<br />
*[http://dataphys.org/list/ List of Physical Visualizations and Related Artifacts]<br />
*[http://www.datavis.ca/milestones/ Data Visualisation Milestones]<br />
*[http://www.sci.utah.edu/~shusenl/highDimSurvey/website/ Visualizing High-Dimensional Data: Advances in the Past Decade]<br />
*[http://groups-in-graphs.corinna-vehlow.com Visualizing Group Structures in Graphs]<br />
*[http://www.cos.ufrj.br/~schots/survis_reuse/ Visualization of Software Reuse]<br />
*[http://matrixreordering.dbvis.de/#/ Matrix Reordering Survey]<br />
*[http://cartogram.cs.arizona.edu/survis-cartogram/ The State of the Art in Cartograms]<br />
*[https://docs.google.com/spreadsheets/d/1yJkf-Nt0kel8hojLZJQiJeWR5Qc-HHqvKvpRDVrfc9g/edit#gid=0 Visualization & Interactive Surfaces]<br />
*[https://www.data-to-viz.com From Data to Viz] leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.<br />
*[https://vizsec.dbvis.de/ Visualization for Cyber Security]<br />
<br />
[[Category:Web resources]][[Category:Surveys]]</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2018-02-27:_CFP:_VISSOFT_2018_-_IEEE_Working_Conference_on_Software_Visualization,_Madrid,_Spain_(Abstract_Deadline:_May_1,_2018)&diff=1598292018-02-27: CFP: VISSOFT 2018 - IEEE Working Conference on Software Visualization, Madrid, Spain (Abstract Deadline: May 1, 2018)2018-02-27T14:06:40Z<p>Kerren: </p>
<hr />
<div>== Call for Papers of the 6th IEEE Working Conference on Software Visualization (VISSOFT 2018)==<br />
'''September 24-25, 2018 - Madrid, Spain''' <br />
<br />
'''Conference web site:''' http://vissoft18.etsii.urjc.es<br />
<br />
'''Paper submission:''' http://vissoft18.etsii.urjc.es/submissions.html<br />
<br />
Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain. <br />
<br />
The VISSOFT conference is principally a venue for publishing and discussing research related to software visualization. VISSOFT brings together a community of researchers from software engineering, information visualization, computer graphics, and human-computer interaction to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. <br />
<br />
This year’s VISSOFT, co-held with ICSME, encourages a variety of submissions that address outstanding challenges in software systems using visualization. This includes technical papers, empirical studies, applications, case studies, and papers that present novel ideas and tools.<br />
<br />
''VISSOFT topics of interest include:''<br />
<br />
* Innovative visualization and visual analytics techniques for analysis of software engineering data. This includes source code, dependencies, repositories, developer social networks like StackOverflow and GitHub, mobile app reviews, documentation, runtime logs, and DevOps data.<br />
* Visualization to support software development activities, including design, requirements engineering, program comprehension, software testing, and debugging.<br />
* Interaction techniques and algorithms for software visualization<br />
* Visualization-based techniques in software engineering education<br />
* Integration of software visualization tools with development environments<br />
* Empirical evaluation of software visualizations<br />
* Industrial experience with using software visualization<br />
* Applications of new technologies to enhance software visualization, including virtual reality, augmented reality, gamification, and machine learning.<br />
<br />
We solicit papers that present original, unpublished research results. Papers will be rigorously reviewed by an international program committee. In addition to technical papers, VISSOFT features a New Ideas or Emerging Results (NIER) track and a Tools track. All accepted submissions will appear in the conference proceedings and the IEEE Digital Library.<br />
<br />
'''Technical papers'''<br />
<br />
A technical paper contribution must describe an in-depth and mature<br />
research result relevant to software visualization. The content of a<br />
technical paper can be at a maximum 10 pages long (including all<br />
figures, tables, and appendices). However, the 10 page limit does not<br />
include the bibliography, which is not limited in length.<br />
The submission of a video (up to 5 minutes in length) to accompany the<br />
paper is highly encouraged to show interaction possibilities. Authors<br />
who wish to submit a video can submit the video together with their paper <br />
if the size of the video is smaller than 50 MB, otherwise a URL to the video <br />
should be provided.<br />
<br />
Authors will be given the opportunity to provide a response to<br />
reviewer requests for clarifications before a final decision is made.<br />
After the notification, authors can also submit an artifact (tool, <br />
data, model, etc.). The following section provides more info about it. <br />
<br />
''Important Dates:''<br />
* Abstract submission date: May 1, 2018<br />
* Paper submission date: May 8, 2018<br />
* Author response period: June 1 - June 5, 2018<br />
* Notification: June 15, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''Artifacts'''<br />
<br />
Traditionally, technical research papers are published without<br />
including any artifacts (such as tools, data, models, videos, etc.),<br />
even though the artifacts may serve as crucial and detailed evidence<br />
for the quality of the results that the associated paper offers.<br />
Following the effort initiated at ESEC/FSE’11, authors of accepted<br />
technical papers at VISSOFT 2018 can have their artifacts evaluated by<br />
the program committee. Positively evaluated artifacts will be<br />
reflected in the paper publication, presentation, and be formally<br />
announced during the conference. A paper with an accepted <br />
artifact will have five extra minutes of presentation which can <br />
be used to present the artifact. The authors will also be invited <br />
to demo the artifact during the interactive informal demo <br />
session organized for the tool demo track.<br />
<br />
Given the short time between the acceptance notification and the deadline to submit the artifact, we suggest the authors to start preparing it beforehand.<br />
Finally, for more information about the artifact evaluation process visit http://www.artifact-eval.org.<br />
<br />
''Important Dates:''<br />
* Artifact submission: June 22, 2018<br />
* Artifact notification: July 11, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''NIER and Tool papers'''<br />
<br />
We accept two types of paper submissions: NIER contributions (New Ideas and<br />
Emerging Results) and Tool contributions.<br />
The NIER contributions describe work-in-progress and preliminary<br />
exciting results. Authors should include open questions and even<br />
provocative hypotheses to get early feedback on their research ideas<br />
or even support through new research collaborations. NIER papers have<br />
to be maximum 5 pages long (including bibliography).<br />
Tool contributions describe the design or actual utilization of<br />
software visualization tools, with a focus on relevant tool<br />
construction aspects or the use of the tool for gaining new insights.<br />
Authors should be prepared to demonstrate their tool at the<br />
conference. The submission may also contain a link to a screencast<br />
(e.g., YouTube or Vimeo video). Tools papers have to be maximum 5 pages long<br />
(including bibliography).<br />
<br />
''Important Dates:''<br />
* Paper submission date: June 11, 2018<br />
* Notification: July 2, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''Organizing Committee'''<br />
<br />
''General Co-Chairs:''<br />
* [http://www.lite.etsii.urjc.es/members/angel-velazquez/ J. Ángel Velázquez Iturbide], Universidad Rey Juan Carlos, Spain<br />
* [https://jaime-urquiza.blogspot.com.es/ Jaime Urquiza Fuentes], Universidad Rey Juan Carlos, Spain<br />
<br />
''Program Co-Chairs:''<br />
* [http://homepage.lnu.se/staff/akemsi/ Andreas Kerren], Linnaeus University, Sweden<br />
* [http://www.rug.nl/staff/m.f.lungu/ Mircea F. Lungu], University of Groningen, The Netherlands<br />
<br />
''NIER/Tool Co-Chairs:''<br />
* [http://cgi.cs.arizona.edu/~kisaacs/ Katherine E. Isaacs], University of Arizona, USA <br />
* [http://www.tue.nl/staff/m.burch Michael Burch], Technical University Eindhoven, The Netherlands<br />
<br />
''Artifact Evaluation Co-Chairs:''<br />
* [https://scholar.google.com/citations?user=Kw-9h4AAAAAJ&hl=en Johan Fabry], Raincode Labs, Belgium <br />
* [http://robertominelli.com Roberto Minelli], Università della Svizzera Italiana, Switzerland <br />
<br />
''Most Influential Paper Award Chairs''<br />
* [https://www.linkedin.com/in/wim-de-pauw-928397/ Wim De Pauw], Google Inc<br />
* [http://www.cs.kent.edu/~jmaletic/ Jonathan Maletic], Kent State University, USA <br />
<br />
<br />
For updates, visit http://vissoft.info or follow<br />
* Facebook: https://www.facebook.com/ieeevissoft/<br />
* Twitter: @IEEEVISSOFT</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2018-02-27:_CFP:_VISSOFT_2018_-_IEEE_Working_Conference_on_Software_Visualization,_Madrid,_Spain_(Abstract_Deadline:_May_1,_2018)&diff=1598282018-02-27: CFP: VISSOFT 2018 - IEEE Working Conference on Software Visualization, Madrid, Spain (Abstract Deadline: May 1, 2018)2018-02-27T08:46:49Z<p>Kerren: </p>
<hr />
<div>== Call for Papers of the 6th IEEE Working Conference on Software Visualization (VISSOFT 2018)==<br />
'''September 24-25, 2018 - Madrid, Spain''' <br />
<br />
'''Conference web site:''' http://vissoft18.etsii.urjc.es<br />
<br />
'''Paper submission:''' http://vissoft18.etsii.urjc.es/submissions.html<br />
<br />
Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain. <br />
<br />
The VISSOFT conference is principally a venue for publishing and discussing research related to software visualization. VISSOFT brings together a community of researchers from software engineering, information visualization, computer graphics, and human-computer interaction to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. <br />
<br />
This year’s VISSOFT, co-held with ICSME, encourages a variety of submissions that address outstanding challenges in software systems using visualization. This includes technical papers, empirical studies, applications, case studies, and papers that present novel ideas and tools.<br />
<br />
''VISSOFT topics of interest include:''<br />
<br />
* Innovative visualization and visual analytics techniques for analysis of software engineering data. This includes source code, dependencies, repositories, developer social networks like StackOverflow and GitHub, mobile app reviews, documentation, runtime logs, and DevOps data.<br />
* Visualization to support software development activities, including design, requirements engineering, program comprehension, software testing, and debugging.<br />
* Interaction techniques and algorithms for software visualization<br />
* Visualization-based techniques in software engineering education<br />
* Integration of software visualization tools with development environments<br />
* Empirical evaluation of software visualizations<br />
* Industrial experience with using software visualization<br />
* Applications of new technologies to enhance software visualization, including virtual reality, augmented reality, gamification, and machine learning.<br />
<br />
We solicit papers that present original, unpublished research results. Papers will be rigorously reviewed by an international program committee. In addition to technical papers, VISSOFT features a New Ideas or Emerging Results (NIER) track and a Tools track. All accepted submissions will appear in the conference proceedings and the IEEE Digital Library.<br />
<br />
'''Technical papers'''<br />
<br />
A technical paper contribution must describe an in-depth and mature<br />
research result relevant to software visualization. The content of a<br />
technical paper can be at a maximum 10 pages long (including all<br />
figures, tables, and appendices). However, the 10 page limit does not<br />
include the bibliography, which is not limited in length.<br />
The submission of a video (up to 5 minutes in length) to accompany the<br />
paper is highly encouraged to show interaction possibilities. Authors<br />
who wish to submit a video can submit the video together with their paper <br />
if the size of the video is smaller than 50 MB, otherwise a URL to the video <br />
should be provided.<br />
<br />
Authors will be given the opportunity to provide a response to<br />
reviewer requests for clarifications before a final decision is made.<br />
After the notification, authors can also submit an artifact (tool, <br />
data, model, etc.). The following section provides more info about it. <br />
<br />
''Important Dates:''<br />
* Abstract submission date: May 1, 2018<br />
* Paper submission date: May 8, 2018<br />
* Author response period: June 1 - June 5, 2018<br />
* Notification: June 15, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''Artifacts'''<br />
<br />
Traditionally, technical research papers are published without<br />
including any artifacts (such as tools, data, models, videos, etc.),<br />
even though the artifacts may serve as crucial and detailed evidence<br />
for the quality of the results that the associated paper offers.<br />
Following the effort initiated at ESEC/FSE’11, authors of accepted<br />
technical papers at VISSOFT 2018 can have their artifacts evaluated by<br />
the program committee. Positively evaluated artifacts will be<br />
reflected in the paper publication, presentation, and be formally<br />
announced during the conference. A paper with an accepted <br />
artifact will have five extra minutes of presentation which can <br />
be used to present the artifact. The authors will also be invited <br />
to demo the artifact also during the interactive informal demo <br />
session organized for the tool demo track.<br />
<br />
Given the short time between the acceptance notification and the deadline to submit the artifact, we suggest the authors to start preparing it beforehand.<br />
Finally, for more information about the artifact evaluation process visit http://www.artifact-eval.org.<br />
<br />
''Important Dates:''<br />
* Artifact submission: June 22, 2018<br />
* Artifact notification: July 11, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''NIER and Tool papers'''<br />
<br />
We accept two types of paper submissions: NIER contributions (New Ideas and<br />
Emerging Results) and Tool contributions.<br />
The NIER contributions describe work-in-progress and preliminary<br />
exciting results. Authors should include open questions and even<br />
provocative hypotheses to get early feedback on their research ideas<br />
or even support through new research collaborations. NIER papers have<br />
to be maximum 5 pages long (including bibliography).<br />
Tool contributions describe the design or actual utilization of<br />
software visualization tools, with a focus on relevant tool<br />
construction aspects or the use of the tool for gaining new insights.<br />
Authors should be prepared to demonstrate their tool at the<br />
conference. The submission may also contain a link to a screencast<br />
(e.g., YouTube or Vimeo video). Tools papers have to be maximum 5 pages long<br />
(including bibliography).<br />
<br />
''Important Dates:''<br />
* Paper submission date: June 11, 2018<br />
* Notification: July 2, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''Organizing Committee'''<br />
<br />
''General Co-Chairs:''<br />
* [http://www.lite.etsii.urjc.es/members/angel-velazquez/ J. Ángel Velázquez Iturbide], Universidad Rey Juan Carlos, Spain<br />
* [https://jaime-urquiza.blogspot.com.es/ Jaime Urquiza Fuentes], Universidad Rey Juan Carlos, Spain<br />
<br />
''Program Co-Chairs:''<br />
* [http://homepage.lnu.se/staff/akemsi/ Andreas Kerren], Linnaeus University, Sweden<br />
* [http://www.rug.nl/staff/m.f.lungu/ Mircea F. Lungu], University of Groningen, The Netherlands<br />
<br />
''NIER/Tool Co-Chairs:''<br />
* [http://cgi.cs.arizona.edu/~kisaacs/ Katherine E. Isaacs], University of Arizona, USA <br />
* [http://www.tue.nl/staff/m.burch Michael Burch], Technical University Eindhoven, The Netherlands<br />
<br />
''Artifact Evaluation Co-Chairs:''<br />
* [https://scholar.google.com/citations?user=Kw-9h4AAAAAJ&hl=en Johan Fabry], Raincode Labs, Belgium <br />
* [http://robertominelli.com Roberto Minelli], Università della Svizzera Italiana, Switzerland <br />
<br />
''Most Influential Paper Award Chairs''<br />
* [https://www.linkedin.com/in/wim-de-pauw-928397/ Wim De Pauw], Google Inc<br />
Jonathan Maletic, Kent State University, USA <br />
http://www.cs.kent.edu/~jmaletic/<br />
<br />
<br />
For updates, visit http://vissoft.info follow<br />
* Facebook: https://www.facebook.com/ieeevissoft/<br />
* Twitter: @IEEEVISSOFT</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2018-02-27:_CFP:_VISSOFT_2018_-_IEEE_Working_Conference_on_Software_Visualization,_Madrid,_Spain_(Abstract_Deadline:_May_1,_2018)&diff=1598272018-02-27: CFP: VISSOFT 2018 - IEEE Working Conference on Software Visualization, Madrid, Spain (Abstract Deadline: May 1, 2018)2018-02-27T08:32:09Z<p>Kerren: </p>
<hr />
<div>== Call for Papers of the 6th IEEE Working Conference on Software Visualization (VISSOFT 2018)==<br />
'''September 24-25, 2018 - Madrid, Spain''' <br />
<br />
'''Conference web site:''' http://vissoft18.etsii.urjc.es<br />
<br />
'''Paper submission:''' http://vissoft18.etsii.urjc.es/submissions.html<br />
<br />
Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain. <br />
<br />
The VISSOFT conference is principally a venue for publishing and discussing research related to software visualization. VISSOFT brings together a community of researchers from software engineering, information visualization, computer graphics, and human-computer interaction to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. <br />
<br />
This year’s VISSOFT, co-held with ICSME, encourages a variety of submissions that address outstanding challenges in software systems using visualization. This includes technical papers, empirical studies, applications, case studies, and papers that present novel ideas and tools.<br />
<br />
''VISSOFT topics of interest include:''<br />
<br />
* Innovative visualization and visual analytics techniques for analysis of software engineering data. This includes source code, dependencies, repositories, developer social networks like StackOverflow and GitHub, mobile app reviews, documentation, runtime logs, and DevOps data.<br />
* Visualization to support software development activities, including design, requirements engineering, program comprehension, software testing, and debugging.<br />
* Interaction techniques and algorithms for software visualization<br />
* Visualization-based techniques in software engineering education<br />
* Integration of software visualization tools with development environments<br />
* Empirical evaluation of software visualizations<br />
* Industrial experience with using software visualization<br />
* Applications of new technologies to enhance software visualization, including virtual reality, augmented reality, gamification, and machine learning.<br />
<br />
We solicit papers that present original, unpublished research results. Papers will be rigorously reviewed by an international program committee. In addition to technical papers, VISSOFT features a New Ideas or Emerging Results (NIER) track and a Tools track. All accepted submissions will appear in the conference proceedings and the IEEE Digital Library.<br />
<br />
'''Technical papers'''<br />
<br />
A technical paper contribution must describe an in-depth and mature<br />
research result relevant to software visualization. The content of a<br />
technical paper can be at a maximum 10 pages long (including all<br />
figures, tables, and appendices). However, the 10 page limit does not<br />
include the bibliography, which is not limited in length.<br />
The submission of a video (up to 5 minutes in length) to accompany the<br />
paper is highly encouraged to show interaction possibilities. Authors<br />
who wish to submit a video can submit the video together with their paper <br />
if the size of the video is smaller than 50 MB, otherwise a URL to the video <br />
should be provided.<br />
<br />
Authors will be given the opportunity to provide a response to<br />
reviewer requests for clarifications before a final decision is made.<br />
After the notification, authors can also submit an artifact (tool, <br />
data, model, etc.). The following section provides more info about it. <br />
<br />
''Important Dates:''<br />
* Abstract submission date: May 1, 2018<br />
* Paper submission date: May 8, 2018<br />
* Author response period: June 1 - June 5, 2018<br />
* Notification: June 15, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''Artifacts'''<br />
<br />
Traditionally, technical research papers are published without<br />
including any artifacts (such as tools, data, models, videos, etc.),<br />
even though the artifacts may serve as crucial and detailed evidence<br />
for the quality of the results that the associated paper offers.<br />
Following the effort initiated at ESEC/FSE’11, authors of accepted<br />
technical papers at VISSOFT 2018 can have their artifacts evaluated by<br />
the program committee. Positively evaluated artifacts will be<br />
reflected in the paper publication, presentation, and be formally<br />
announced during the conference. A paper with an accepted <br />
artifact will have five extra minutes of presentation which can <br />
be used to present the artifact. The authors will also be invited <br />
to demo the artifact also during the interactive informal demo <br />
session organized for the tool demo track.<br />
<br />
Given the short time between the acceptance notification and the deadline to submit the artifact, we suggest the authors to start preparing it beforehand.<br />
Finally, for more information about the artifact evaluation process visit http://www.artifact-eval.org.<br />
<br />
''Important Dates:''<br />
* Artifact submission: June 22, 2018<br />
* Artifact notification: July 11, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''NIER and Tool papers'''<br />
<br />
We accept two types of paper submissions: NIER contributions (New Ideas and<br />
Emerging Results) and Tool contributions.<br />
The NIER contributions describe work-in-progress and preliminary<br />
exciting results. Authors should include open questions and even<br />
provocative hypotheses to get early feedback on their research ideas<br />
or even support through new research collaborations. NIER papers have<br />
to be maximum 5 pages long (including bibliography).<br />
Tool contributions describe the design or actual utilization of<br />
software visualization tools, with a focus on relevant tool<br />
construction aspects or the use of the tool for gaining new insights.<br />
Authors should be prepared to demonstrate their tool at the<br />
conference. The submission may also contain a link to a screencast<br />
(e.g., YouTube or Vimeo video). Tools papers have to be maximum 5 pages long<br />
(including bibliography).<br />
<br />
''Important Dates:''<br />
* Paper submission date: June 11, 2018<br />
* Notification: July 2, 2018<br />
* Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''Organizing Committee'''<br />
<br />
General Co-Chairs:<br />
J. Ángel Velázquez Iturbide, Universidad Rey Juan Carlos, Spain<br />
http://www.lite.etsii.urjc.es/members/angel-velazquez/<br />
<br />
Jaime Urquiza Fuentes, Universidad Rey Juan Carlos, Spain<br />
https://jaime-urquiza.blogspot.com.es/<br />
<br />
Program Co-Chairs:<br />
<br />
Andreas Kerren, Linnaeus University, Sweden<br />
http://homepage.lnu.se/staff/akemsi/<br />
<br />
Mircea F. Lungu, University of Groningen, The Netherlands<br />
http://www.rug.nl/staff/m.f.lungu/<br />
<br />
<br />
NIER/Tool Co-Chairs:<br />
<br />
Katherine E. Isaacs, University of Arizona, USA <br />
http://cgi.cs.arizona.edu/~kisaacs/<br />
<br />
Michael Burch, Technical University Eindhoven, The Netherlands<br />
http://www.tue.nl/staff/m.burch<br />
<br />
<br />
Artifact Evaluation Co-Chairs:<br />
<br />
Johan Fabry, Raincode Labs, Belgium https://scholar.google.com/citations?user=Kw-9h4AAAAAJ&hl=en <br />
<br />
Roberto Minelli, Università della Svizzera Italiana, Switzerland http://robertominelli.com<br />
<br />
<br />
Most Influential Paper Award Chairs<br />
<br />
Wim De Pauw, Google Inc<br />
https://www.linkedin.com/in/wim-de-pauw-928397/<br />
<br />
Jonathan Maletic, Kent State University, USA <br />
http://www.cs.kent.edu/~jmaletic/<br />
<br />
<br />
For updates, visit http://vissoft.info follow<br />
* Facebook: https://www.facebook.com/ieeevissoft/<br />
* Twitter: @IEEEVISSOFT</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2018-02-27:_CFP:_VISSOFT_2018_-_IEEE_Working_Conference_on_Software_Visualization,_Madrid,_Spain_(Abstract_Deadline:_May_1,_2018)&diff=1598262018-02-27: CFP: VISSOFT 2018 - IEEE Working Conference on Software Visualization, Madrid, Spain (Abstract Deadline: May 1, 2018)2018-02-27T08:29:03Z<p>Kerren: </p>
<hr />
<div>== Call for Papers of the 6th IEEE Working Conference on Software Visualization (VISSOFT 2018)==<br />
'''September 24-25, 2018 - Madrid, Spain''' <br />
<br />
'''Conference web site:''' http://vissoft18.etsii.urjc.es<br />
<br />
'''Paper submission:''' http://vissoft18.etsii.urjc.es/submissions.html<br />
<br />
Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain. <br />
<br />
The VISSOFT conference is principally a venue for publishing and discussing research related to software visualization. VISSOFT brings together a community of researchers from software engineering, information visualization, computer graphics, and human-computer interaction to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. <br />
<br />
This year’s VISSOFT, co-held with ICSME, encourages a variety of submissions that address outstanding challenges in software systems using visualization. This includes technical papers, empirical studies, applications, case studies, and papers that present novel ideas and tools.<br />
<br />
''VISSOFT topics of interest include:''<br />
<br />
* Innovative visualization and visual analytics techniques for analysis of software engineering data. This includes source code, dependencies, repositories, developer social networks like StackOverflow and GitHub, mobile app reviews, documentation, runtime logs, and DevOps data.<br />
* Visualization to support software development activities, including design, requirements engineering, program comprehension, software testing, and debugging.<br />
* Interaction techniques and algorithms for software visualization<br />
* Visualization-based techniques in software engineering education<br />
* Integration of software visualization tools with development environments<br />
* Empirical evaluation of software visualizations<br />
* Industrial experience with using software visualization<br />
* Applications of new technologies to enhance software visualization, including virtual reality, augmented reality, gamification, and machine learning.<br />
<br />
We solicit papers that present original, unpublished research results. Papers will be rigorously reviewed by an international program committee. In addition to technical papers, VISSOFT features a New Ideas or Emerging Results (NIER) track and a Tools track. All accepted submissions will appear in the conference proceedings and the IEEE Digital Library.<br />
<br />
'''Technical papers'''<br />
<br />
A technical paper contribution must describe an in-depth and mature<br />
research result relevant to software visualization. The content of a<br />
technical paper can be at a maximum 10 pages long (including all<br />
figures, tables, and appendices). However, the 10 page limit does not<br />
include the bibliography, which is not limited in length.<br />
<br />
The submission of a video (up to 5 minutes in length) to accompany the<br />
paper is highly encouraged to show interaction possibilities. Authors<br />
who wish to submit a video can submit the video together with their paper <br />
if the size of the video is smaller than 50 MB, otherwise a URL to the video <br />
should be provided.<br />
<br />
Authors will be given the opportunity to provide a response to<br />
reviewer requests for clarifications before a final decision is made.<br />
<br />
After the notification, authors can also submit an artifact (tool, <br />
data, model, etc.). The following section provides more info about it. <br />
<br />
Important Dates:<br />
Abstract submission date: May 1, 2018<br />
Paper submission date: May 8, 2018<br />
Author response period: June 1 - June 5, 2018<br />
Notification: June 15, 2018<br />
Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''Artifacts'''<br />
<br />
Traditionally, technical research papers are published without<br />
including any artifacts (such as tools, data, models, videos, etc.),<br />
even though the artifacts may serve as crucial and detailed evidence<br />
for the quality of the results that the associated paper offers.<br />
Following the effort initiated at ESEC/FSE’11, authors of accepted<br />
technical papers at VISSOFT 2018 can have their artifacts evaluated by<br />
the program committee. Positively evaluated artifacts will be<br />
reflected in the paper publication, presentation, and be formally<br />
announced during the conference. A paper with an accepted <br />
artifact will have five extra minutes of presentation which can <br />
be used to present the artifact. The authors will also be invited <br />
to demo the artifact also during the interactive informal demo <br />
session organized for the tool demo track.<br />
<br />
Given the short time between the acceptance notification and the deadline to submit the artifact, we suggest the authors to start preparing it beforehand.<br />
<br />
Finally, for more information about the artifact evaluation process <br />
visit http://www.artifact-eval.org.<br />
<br />
Important Dates:<br />
Artifact submission: June 22, 2018<br />
Artifact notification: July 11, 2018<br />
Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
'''NIER and Tool papers'''<br />
<br />
We accept two types of paper submissions: NIER contributions (New Ideas and<br />
Emerging Results) and Tool contributions.<br />
The NIER contributions describe work-in-progress and preliminary<br />
exciting results. Authors should include open questions and even<br />
provocative hypotheses to get early feedback on their research ideas<br />
or even support through new research collaborations. NIER papers have<br />
to be maximum 5 pages long (including bibliography).<br />
Tool contributions describe the design or actual utilization of<br />
software visualization tools, with a focus on relevant tool<br />
construction aspects or the use of the tool for gaining new insights.<br />
Authors should be prepared to demonstrate their tool at the<br />
conference. The submission may also contain a link to a screencast<br />
(e.g., YouTube or Vimeo video). Tools papers have to be maximum 5 pages long<br />
(including bibliography).<br />
<br />
Important Dates:<br />
Paper submission date: June 11, 2018<br />
Notification: July 2, 2018<br />
Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
<br />
'''Organizing Committee'''<br />
<br />
General Co-Chairs:<br />
J. Ángel Velázquez Iturbide, Universidad Rey Juan Carlos, Spain<br />
http://www.lite.etsii.urjc.es/members/angel-velazquez/<br />
<br />
Jaime Urquiza Fuentes, Universidad Rey Juan Carlos, Spain<br />
https://jaime-urquiza.blogspot.com.es/<br />
<br />
Program Co-Chairs:<br />
<br />
Andreas Kerren, Linnaeus University, Sweden<br />
http://homepage.lnu.se/staff/akemsi/<br />
<br />
Mircea F. Lungu, University of Groningen, The Netherlands<br />
http://www.rug.nl/staff/m.f.lungu/<br />
<br />
<br />
NIER/Tool Co-Chairs:<br />
<br />
Katherine E. Isaacs, University of Arizona, USA <br />
http://cgi.cs.arizona.edu/~kisaacs/<br />
<br />
Michael Burch, Technical University Eindhoven, The Netherlands<br />
http://www.tue.nl/staff/m.burch<br />
<br />
<br />
Artifact Evaluation Co-Chairs:<br />
<br />
Johan Fabry, Raincode Labs, Belgium https://scholar.google.com/citations?user=Kw-9h4AAAAAJ&hl=en <br />
<br />
Roberto Minelli, Università della Svizzera Italiana, Switzerland http://robertominelli.com<br />
<br />
<br />
Most Influential Paper Award Chairs<br />
<br />
Wim De Pauw, Google Inc<br />
https://www.linkedin.com/in/wim-de-pauw-928397/<br />
<br />
Jonathan Maletic, Kent State University, USA <br />
http://www.cs.kent.edu/~jmaletic/<br />
<br />
<br />
For updates, visit http://vissoft.info follow<br />
* Facebook: https://www.facebook.com/ieeevissoft/<br />
* Twitter: @IEEEVISSOFT</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=2018-02-27:_CFP:_VISSOFT_2018_-_IEEE_Working_Conference_on_Software_Visualization,_Madrid,_Spain_(Abstract_Deadline:_May_1,_2018)&diff=1598252018-02-27: CFP: VISSOFT 2018 - IEEE Working Conference on Software Visualization, Madrid, Spain (Abstract Deadline: May 1, 2018)2018-02-27T08:26:08Z<p>Kerren: Created page with "== Call for Papers of the 6th IEEE Working Conference on Software Visualization (VISSOFT 2018)== '''September 24-25, 2018 - Madrid, Spain''' '''Conference web site:''' http..."</p>
<hr />
<div>== Call for Papers of the 6th IEEE Working Conference on Software Visualization (VISSOFT 2018)==<br />
'''September 24-25, 2018 - Madrid, Spain''' <br />
<br />
'''Conference web site:''' http://vissoft18.etsii.urjc.es<br />
<br />
'''Paper submission:''' http://vissoft18.etsii.urjc.es/submissions.html<br />
<br />
Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain. <br />
<br />
The VISSOFT conference is principally a venue for publishing and discussing research related to software visualization. VISSOFT brings together a community of researchers from software engineering, information visualization, computer graphics, and human-computer interaction to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. <br />
<br />
This year’s VISSOFT, co-held with ICSME, encourages a variety of submissions that address outstanding challenges in software systems using visualization. This includes technical papers, empirical studies, applications, case studies, and papers that present novel ideas and tools.<br />
<br />
VISSOFT topics of interest include:<br />
<br />
* Innovative visualization and visual analytics techniques for<br />
analysis of software engineering data. This includes source code,<br />
dependencies, repositories, developer social networks like<br />
StackOverflow and GitHub, mobile app reviews, documentation, runtime<br />
logs, and DevOps data.<br />
* Visualization to support software development activities, including<br />
design, requirements engineering, program comprehension, software<br />
testing, and debugging.<br />
* Interaction techniques and algorithms for software visualization<br />
* Visualization-based techniques in software engineering education<br />
* Integration of software visualization tools with development environments<br />
* Empirical evaluation of software visualizations<br />
* Industrial experience with using software visualization<br />
* Applications of new technologies to enhance software visualization,<br />
including virtual reality, augmented reality, gamification, and<br />
machine learning.<br />
<br />
We solicit papers that present original, unpublished research results. Papers will be rigorously reviewed by an international program committee. In addition to technical papers, VISSOFT features a New Ideas or Emerging Results (NIER) track and a Tools track. All accepted submissions will appear in the conference proceedings and the IEEE Digital Library.<br />
<br />
-== Technical papers ==-<br />
<br />
A technical paper contribution must describe an in-depth and mature<br />
research result relevant to software visualization. The content of a<br />
technical paper can be at a maximum 10 pages long (including all<br />
figures, tables, and appendices). However, the 10 page limit does not<br />
include the bibliography, which is not limited in length.<br />
<br />
The submission of a video (up to 5 minutes in length) to accompany the<br />
paper is highly encouraged to show interaction possibilities. Authors<br />
who wish to submit a video can submit the video together with their paper <br />
if the size of the video is smaller than 50 MB, otherwise a URL to the video <br />
should be provided.<br />
<br />
Authors will be given the opportunity to provide a response to<br />
reviewer requests for clarifications before a final decision is made.<br />
<br />
After the notification, authors can also submit an artifact (tool, <br />
data, model, etc.). The following section provides more info about it. <br />
<br />
Important Dates:<br />
Abstract submission date: May 1, 2018<br />
Paper submission date: May 8, 2018<br />
Author response period: June 1 - June 5, 2018<br />
Notification: June 15, 2018<br />
Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
-== Artifacts ==-<br />
<br />
Traditionally, technical research papers are published without<br />
including any artifacts (such as tools, data, models, videos, etc.),<br />
even though the artifacts may serve as crucial and detailed evidence<br />
for the quality of the results that the associated paper offers.<br />
Following the effort initiated at ESEC/FSE’11, authors of accepted<br />
technical papers at VISSOFT 2018 can have their artifacts evaluated by<br />
the program committee. Positively evaluated artifacts will be<br />
reflected in the paper publication, presentation, and be formally<br />
announced during the conference. A paper with an accepted <br />
artifact will have five extra minutes of presentation which can <br />
be used to present the artifact. The authors will also be invited <br />
to demo the artifact also during the interactive informal demo <br />
session organized for the tool demo track.<br />
<br />
Given the short time between the acceptance notification and the deadline to submit the artifact, we suggest the authors to start preparing it beforehand.<br />
<br />
Finally, for more information about the artifact evaluation process <br />
visit http://www.artifact-eval.org.<br />
<br />
Important Dates:<br />
Artifact submission: June 22, 2018<br />
Artifact notification: July 11, 2018<br />
Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
-== NIER and Tool papers==-<br />
<br />
We accept two types of paper submissions: NIER contributions (New Ideas and<br />
Emerging Results) and Tool contributions.<br />
The NIER contributions describe work-in-progress and preliminary<br />
exciting results. Authors should include open questions and even<br />
provocative hypotheses to get early feedback on their research ideas<br />
or even support through new research collaborations. NIER papers have<br />
to be maximum 5 pages long (including bibliography).<br />
Tool contributions describe the design or actual utilization of<br />
software visualization tools, with a focus on relevant tool<br />
construction aspects or the use of the tool for gaining new insights.<br />
Authors should be prepared to demonstrate their tool at the<br />
conference. The submission may also contain a link to a screencast<br />
(e.g., YouTube or Vimeo video). Tools papers have to be maximum 5 pages long<br />
(including bibliography).<br />
<br />
Important Dates:<br />
Paper submission date: June 11, 2018<br />
Notification: July 2, 2018<br />
Submission link: https://easychair.org/conferences/?conf=vissoft2018<br />
<br />
<br />
-== Organizing Committee ==-<br />
General Co-Chairs:<br />
<br />
J. Ángel Velázquez Iturbide, Universidad Rey Juan Carlos, Spain<br />
http://www.lite.etsii.urjc.es/members/angel-velazquez/<br />
<br />
Jaime Urquiza Fuentes, Universidad Rey Juan Carlos, Spain<br />
https://jaime-urquiza.blogspot.com.es/<br />
<br />
<br />
Program Co-Chairs:<br />
<br />
Andreas Kerren, Linnaeus University, Sweden<br />
http://homepage.lnu.se/staff/akemsi/<br />
<br />
Mircea F. Lungu, University of Groningen, The Netherlands<br />
http://www.rug.nl/staff/m.f.lungu/<br />
<br />
<br />
NIER/Tool Co-Chairs:<br />
<br />
Katherine E. Isaacs, University of Arizona, USA <br />
http://cgi.cs.arizona.edu/~kisaacs/<br />
<br />
Michael Burch, Technical University Eindhoven, The Netherlands<br />
http://www.tue.nl/staff/m.burch<br />
<br />
<br />
Artifact Evaluation Co-Chairs:<br />
<br />
Johan Fabry, Raincode Labs, Belgium https://scholar.google.com/citations?user=Kw-9h4AAAAAJ&hl=en <br />
<br />
Roberto Minelli, Università della Svizzera Italiana, Switzerland http://robertominelli.com<br />
<br />
<br />
Most Influential Paper Award Chairs<br />
<br />
Wim De Pauw, Google Inc<br />
https://www.linkedin.com/in/wim-de-pauw-928397/<br />
<br />
Jonathan Maletic, Kent State University, USA <br />
http://www.cs.kent.edu/~jmaletic/<br />
<br />
<br />
For updates, visit http://vissoft.info follow<br />
* Facebook: https://www.facebook.com/ieeevissoft/<br />
* Twitter: @IEEEVISSOFT</div>Kerrenhttps://infovis-wiki.net/w/index.php?title=Template:News&diff=159824Template:News2018-02-27T08:20:36Z<p>Kerren: </p>
<hr />
<div><!-- Start new stories below, newest at top! Keep in mind to write an article in the News-Category for every topic using the corresponding headline as title and link it here. --><br />
<!-- HOW TO ENTER NEWS: --><br />
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<br />
*[[2018-02-27: CFP: VISSOFT 2018 - IEEE Working Conference on Software Visualization, Madrid, Spain (Abstract Deadline: May 1, 2018)]]<br />
*[[2018-02-21: CFP: EuroVis Short Papers, Brno, Czech Republic (Deadline: March 2, 2018)]]<br />
*[[2018-01-15: CFP: Graph Drawing and Network Visualization - GD 2018, Barcelona, Spain (Deadline: June 10, 2018)]]<br />
*[[2018-01-09: CFP: BDVA 2018: 4th International Workshop on Big Data Visual and Immersive Analytics, Konstanz, Germany (Deadline: June 24, 2018)]]<br />
*[[2018-01-05: Job: Academic Director in Interactive Technologies / St. Poelten University of Applied Sciences, Austria. (Deadline: January 22, 2018)]]<br />
*[[2017-12-20: Job: Assistant Professor in New Media Technology / MODUL University Vienna, Austria. (Deadline: January 20, 2018)]]<br />
*[[2017-12-20: Job: Visual Analytics Researchers and Software Developers / MODUL University Vienna, Austria. (Deadline: January 20, 2018)]]<br />
*[[2017-11-29: Job: PhD positions in data visualization / large scale data management, Northeastern University, Boston, MA, USA. (Deadlines: December 15, 2017 - February 15, 2018)]]<br />
*[[2017-11-29: Special Issue CFP: Special Issue on Big Data Exploration, Visualization and Analytics, Big Data Research, Elsevier (Deadline: August 1, 2018)]]<br />
*[[2017-10-16: CFP: 2nd ACM IUI Workshop on Exploratory Search and Interactive Data Analytics (ESIDA), Tokyo, Japan (Deadline: December 17, 2017)]] <br />
*[[2017-10-16: CFP: International Workshop on Big Data Visual Exploration and Analytics, Vienna, Austria (Deadline: December 25, 2017)]]<br />
*[[2017-10-16: Job: Full-time postdoctoral researcher at the School of Computer Science, Bangor University, UK. (Deadline: October 31, 2017)]]<br />
*[[2017-09-22: Job: PhD Position in Visual Analytics for Engineering Smarter Systems, Linnaeus University, Växjö, Sweden. (Deadline: November 1, 2017)]]<br />
*[[2017-09-10: Job: Lecturer/Senior Lecturer in Computer Graphics and Visualization at Victoria University of Wellington, New Zealand. (Deadline: October. 2, 2017)]]<br />
*[[2017-07-20: CFP: Forum Media Technology 2017. St. Poelten, Austria. Nov 29-30, 2017. (Deadline: Sept. 6, 2017)]]<br />
*[[2017-06-25: CFP: IVAPP 2018 - 9th International Conference on Information Visualization Theory and Applications (Deadline: July 31, 2017)]]<br />
*[[2017-06-15: Call for Papers: VizSec 2017 Call for Papers (Deadline: July 18, 2017)]]<br />
*[[2017-05-24: Job: University Assistant / PhD Position in Visualization and Human-Computer Interaction, TU Wien, Austria]]<br />
*[[2017-04-18: Job: PhD Position in Immersive analytics, Nantes University, Nantes, France]]<br />
*[[2017-03-01: Call for Papers: Graph Drawing and Network Visualization GD 2017 (Deadline: June 11, 2017)]]<br />
*[[2017-02-23: CFP: Special Issue on Coupling Computation and Human Cognition through Interaction Design (Deadline: May 31, 2017)]]<br />
*[[2017-01-25: CFP: TAProViz 2017 : 6th International Workshop on Theory and Application of Visualizations and Human-centric Aspects in Processes]]<br />
*[[2017-01-03: Job: Three Positions as Research Associate in "Visualization" at University of Duisburg-Essen, Germany]]<br />
<br />
<br />
[[:Category:News|'''News Archive...''']]<br />
<br />
[http://www.infovis-wiki.net/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]<br />
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small></div>Kerren