IEEE VAST, founded in 2006, is the first international symposium dedicated to advances in visual analytics science and technology. The scope of the symposium, co-located with the annual IEEE Visualization Conference and the IEEE InfoVis Conference, is based on the research agenda 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 in IEEE VAST 2007 by submitting your original research and joining us in Sacramento, California, October 30 to November 1, 2007.

Visual Analytics is the science of analytical reasoning supported by highly interactive visual interfaces. People use visual analytics tools and techniques to synthesize information into knowledge; 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, going beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more. Your submission should help develop and/or apply the science of Visual Analytics, clearly showing an interdisciplinary approach.

The combined Vis/InfoVis/VAST Final Program now available. Click here to download (PDF). Click here to download the program "At-a-Glance" (PDF).

IEEE VAST Slide Templates are now available. Please click here for details.

Online preregistration for IEEE InfoVis, IEEE Visualization, and IEEE VAST is now closed. Registrations will be accepted at the conference site.

Special Events in 2007:

IEEE Visualization and InfoVis Conferences and co-located IEEE VAST (Visual Analytics Science and Technology) Symposium will again host a Doctoral Colloquium to support the next generation of visualization researchers. Click here for details.

Authors: please click here for important information.

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 dissemination 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.

Symposium Chairs

John Dill, Simon Fraser University, Canada
William Ribarsky, University of North Carolina at Charlotte

Area Chairs

Information Analytics	Pat Hanrahan, Stanford University
Interaction	Jim Foley, Georgia Institute of Technology
Scientific Analytics	David Ebert, Purdue University
Data Management and Knowledge Representation	Maria Zemankova, National Science Foundation
Cognitive and Perceptual Science	Brian Fisher, Simon Fraser University, Canada
Knowledge Discovery	Daniel Keim, University of Konstanz, Germany
Statistical Analytics	Leland Wilkinson, SPSS
Geospatial Analytics	Alan MacEachren, Penn State University
Presentation, Production, and Dissemination	Nancy Chinchor, U.S. Government

Co-located with IEEE VAST 2007 are:

IEEE Vis 2007	IEEE Visualization Conference (Vis 2007) October 28 - November 1, 2007 http://vis.computer.org/vis2007/
IEEE InfoVis 2007	IEEE Symposium on Information Visualization October 28 - 30, 2007 http://conferences.computer.org/infovis/infovis2007

Submission Deadlines

March 31, 2007	Full IEEE VAST Papers (5:00PM, Pacific Time)
April 30, 2007	Workshop Proposals
June 30, 2007	Posters
June 30, 2007	Panels
July 13, 2007	IEEE VAST Contest