[Infovis] CFP IEEE Visual Analytics Science and Technology (VAST) 2007

Wong, Pak C Pak.Wong at pnl.gov
Fri Feb 16 18:50:36 CET 2007

Call for Participation

IEEE Visual Analytics Science and Technology (VAST) 2007
October 29 - 31, 2007

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 

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

For questions, send email to: vast at 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

IEEE Conference on Information Visualization (IEEE InfoVis 2007)
October 27 - 29, 2007

The combined Vis 2007, InfoVis 2007, and VAST 2007 make this week in
Sacramento the place to be to participate in this rapidly expanding

Best regards,
Pak Chung Wong

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