View source for 2018-09-01: CFPosters: 4th International Symposium on Big Data Visual and Immersive Analytics (BDVA 2018) - Deadline Sept. 9, 2018)

= Call for Posters (BDVA 2018) =

''' 4th International Symposium on Big Data Visual and Immersive Analytics (BDVA 2018) '''

''' Call for Posters, Konstanz, Germany - October 17th to October 19th 2018 '''


The BDVA 2018 Symposium is calling for contributions in the area of Visual Analytics and Immersive Analytics of Big Data. Submit your work and be part of a vibrant venue that will bring together an exciting programme with internationally renowned keynote speakers, special sessions, and workshops: http://bdva.net


Visual Analytics plays a major role in the analysis and decision-making processes for science, industry, and government organisations. It is one of the best ways we have for making sense of large and complex data sets. Reflecting its history of encouraging research into less-traditional approaches to visual analytics, this year BDVA has broadened scope to include the emerging field of Immersive Analytics. Immersive Analytics aims to support data understanding and decision making everywhere and by everyone, working individually or collaboratively. It aims to make embodied tools that are intuitive, engaging, and make the best possible use of all sensory channels. This may be achieved through the use of immersive virtual environment technologies, natural interfaces or responsive analytics, but is not tied to the use of any particular technology. Immersive Analytics brings promising opportunities to interact with Big Data coming from geo-science, biomedical applications, collective behaviour, text mining, crime analysis, among other application domains.


Symposium topics include but are not limited to:

- Theoretical Foundations of Immersive Analytics

- Immersive Storytelling

- Collaborative Visual and Immersive Analytics

- Personalized Visual and Immersive Analytics

- Use of Mixed Reality for Analytics including Situated Analytics

- Visual, Audio, Haptic, and Multisensory Data Presentation including Data Physicalization

- Human-Computer Interaction including Use of Natural Interfaces for Analytics

- Analytical Reasoning and Sense-making of Big or Complex Data

- Scalable Visual and Immersive Analytics including HPC for Visualisation

- Responsive Analytic Algorithms for Interactive Data Exploration

- Big Data Management, Transformation, and Presentation

- Context-Semantics-driven Visual and Immersive Analytics

- Processes & Tools for Building Visual and Immersive Analytics Applications

- Applications and Case Studies


== Poster Submission Instructions ==

Authors are invited to submit poster papers that report work in progress, explore new problem areas, and new angles on existing work of known approaches. In addition to every poster, a two-page summary (one additional page for references) of the work has to be submitted. Please us the VGTC conference template (http://junctionpublishing.org/vgtc/Tasks/camera.html) for the summary paper. The posters themselves have no predefined format. Dimensions of the posters must be A0 (841mm x 1189mm / 33.1’’ x 46.8’’), and only portrait format is acceptable. Posters are not archival publications. The two-page summary papers will be distributed to the conference attendees on a USB flash drive. Authors whose posters are accepted to the conference will be asked to revise the poster and the summary paper according to the reviewer comments. The poster itself needs to be brought to the poster session of the conference, and at least one presenter per poster has to attend the conference.


Please submit your abstracts and manuscripts here:

https://easychair.org/conferences/?conf=bdva2018 [https://easychair.org/conferences/?conf=bdva2018]


== Important Dates ==

Submission of poster abstracts closes:             September 9, 2018

Notification of poster abstracts acceptance:       September 16, 2018

Submission of camera-ready poster papers:          September 30, 2018


''' Poster Chair '''

Johanna Schmidt, AIT Austrian Institute of Technology GmbH, Austria


''' General Chair '''

Falk Schreiber, University of Konstanz, Germany


''' Program Chairs '''

M. Eduard Gröller, TU Wien, Austria

Kim Marriott, Monash University, Australia


''' Program Committee '''

Benjamin Bach, The University of Edinburgh

Fabian Beck, University of Duisburg-Essen

Tomasz Bednarz, UNSW Art & Design, CSIRO Data61

Silvia Castro, Universidad Nacional del Sur

Jian Chen, The Ohio State University

Maxime Cordeil, Monash University

Tim Dwyer, Monash University

Niklas Elmqvist, University of Maryland

Ulrich Engelke, CSIRO

Martin Falk, Linköping University

Carla Freitas, Federal University of Rio Grande do Sul

Issei Fujishiro, Keio University

Hans-Christian Hege, Zuse Institute Berlin

Nathalie Henry-Riche, Microsoft

Marcel Hlawatsch, University of Stuttgart

Tony Huang Swinburne, University of Technology

Daniel Keim, University of Konstanz

Andreas Kerren, Linnaeus University

Jinman Kim, The University of Sydney

Karsten Klein, University of Konstanz

Søren Knudsen, University of Calgary

Steffen Koch, University of Ulm

Nils Kriege, TU Dortmund

Michael Krone, University of Tübingen

Bongshin Lee, Microsoft

Kwan-Liu Ma, University of California, Davis

G.Elisabeta Marai, University of Illinois at Chicago

Kresimir Matkovic, VRVis Research Center

Frank Maurer, University of Calgary

Quang Vinh Nguyen, Western Sydney University

Aruquia Peixoto, CEFET/RJ

Jonathan Roberts, Bangor University

Bahador Saket, Georgia Institute of Technology

Dieter Schmalstieg, Graz University of Technology

Heidrun Schumann, University of Rostock

Shigeo Takahashi, University of Aizu

Bruce Thomas, University of South Australia

Manuela Waldner, Vienna University of Technology

Yingcai Wu, Zhejiang University

Anders Ynnerman, Linköping University

Kang Zhang, The University of Texas at Dallas


''' Organising Chairs '''

Alexandra Diehl, University of Konstanz, Germany

Björn Sommer, University of Konstanz, Germany


''' Publicity Chair '''

Alfie Abdul-Rahman, King’s College London, UK