Call for Participation ====================== IEEE Visual Analytics Science and Technology (VAST) 2007 October 29 - 31, 2007 http://conferences.computer.org/vast/vast2007/ Paper Submission Deadline: March 31, 2007, 5:00 pm PST 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. 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. We will again have a visual analytics contest and, new this year, a poster session. Please visit our website (http://conferences.computer.org/vast/vast2007/) for the most up-to-date information. For questions, send email to: vast@vis.computer.org. Sponsored by the IEEE Computer Society Visualization and Graphics Technical Committee. Conference Chairs ----------------- John Dill, Simon Fraser University, Canada William Ribarsky, University of North Carolina at Charlotte Co-located with IEEE VAST 2007 are: ----------------------------------- IEEE Visualization Conference (IEEE Vis 2007) October 30 - November 1 http://vis.computer.org/vis2007/ IEEE Conference on Information Visualization (IEEE InfoVis 2007) October 27 - 29, 2007 http://conferences.computer.org/infovis/infovis2007 The combined Vis 2007, InfoVis 2007, and VAST 2007 make this week in Sacramento the place to be to participate in this rapidly expanding field. Best regards, Pak Chung Wong http://www.pnl.gov/wong