CVAST - Centre of Excellence for Visual Analytics Science and Technology
Laura Bassi Centre of Expertise
Centre of Excellence for Visual Analytics Science and Technology (CVAST)
Due to the proliferating capabilities to generate and collect vast amounts of data and information we face the challenge that users and analysts get lost in irrelevant, or otherwise inappropriately processed or presented information. Visual Analytics is an emerging research discipline developing methods and technology that make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of both, computers‘ and humans‘ information processing capabilities. To make complex information structures more comprehensible, facilitate new insights, and enable knowledge discovery, methods of visualization, intelligent data analysis, and mining form a symbiosis with the human user via interactive visual interfaces.
Application scenarios that involve temporal properties are in the focus of our scientific interest. Time has a rich inherent structure and distinct characteristics which increase its complexity dramatically. To account for that, specialized Visual Analytics methods are needed to support analysis and visualization.
Goals
- Integration of the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment.
- Scientific assessment of the usability and utility of such discovery environments while bridging the gap between theory and practice for selected application scenarios.