Call for Participation

      IEEE Visual Analytics Science and Technology 2006
                 October 31 - Nov 2, 2006
        http://conferences.computer.org/vast/vast2006/

Approaching Deadline: Paper Submission Deadline- March 31, 2006


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.