The IEEE VAST Symposium Program is now available. Please click here for details.

The IEEE VAST slide templates are now available. Please click here for details.

Please click here for the IEEE VAST contest results.

A combined Vis, InfoVis, and IEEE VAST Advance Program Overview has been posted. Please click here for details.

IEEE VAST 2006 is the first international symposium dedicated to the advances in visual analytics science and technology. The scope of the symposium, co-located with the annual IEEE Visualization 2006 Conference and the IEEE InfoVis Symposium, is based on the research agenda which has been recently published in the book Illuminating the Path: The Research and Development Agenda for Visual Analytics, J. J. Thomas and K. A. Cook, editors, IEEE CS Press. We invite you to participate by submitting your original research and joining us in Baltimore, Maryland, October 31 - November 2, 2006.

Visual Analytics is the science of analytical reasoning supported by the highly interactive visual interface. People use visual analytics tools and techniques to synthesize information; derive insight from massive, dynamic, and often conflicting data; detect the expected and discover the unexpected; provide timely, defensible, and understandable assessments; and communicate assessments effectively for action. The issues stimulating this body of research provide a grand challenge in science: turning information overload into the opportunity of the decade.

Visual analytics requires interdisciplinary science beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more. Submission should help develop and/or apply the science of Visual Analytics, clearly showing an interdisciplinary approach.

Topics of interest include, but are not limited to

• Visual representations and interaction techniques including the principles for depicting information, new visual paradigms, statistical graphics, geospatial visualizations, the science of interaction, and approaches for generating visual analytic visualization and interactions,
• Data management and knowledge representation including scalable data representations for high volume and stream data, statistical and semantic signatures, and synthesis of information from diverse data sources,
• Analytical reasoning including the human analytic discourse, knowledge discovery methods, perception and cognition, and collaborative visual analytics,
• Presentation, production, and dissimilation methods including methods and tools for capturing the analytics process, and story telling for specific and varying audiences, and
• Evaluation methods, security & privacy, interoperability, and technology practice & experience,

as far as they contribute to the science of visual analytics.

For questions, send email to: vast@vis.computer.org.

Sponsored by the IEEE Computer Society Visualization and Graphics Technical Committee.

Conference Chairs:

Pak Chung Wong, Pacific Northwest National Laboratory
Daniel Keim University of Constant, Germany

Co-located with IEEE VAST 2006 are:

IEEE Vis 2006	IEEE Visualization Conference (Vis 2006) October 29 - November 3 2006 http://vis.computer.org/vis2006/
IEEE InfoVis 2006	IEEE Symposium on Information Visualization October 29 - 31, 2006 http://conferences.computer.org/infovis/infovis2006

The combined Vis 2006 conference and InfoVis symposium make this week in Baltimore the place to be to participate in this rapidly expanding field.