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
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
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
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
- 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: email@example.com.
Sponsored by the IEEE Computer Society Visualization and Graphics Technical Committee.
Pak Chung Wong, Pacific Northwest National Laboratory
Daniel Keim University of Constant, Germany
Co-located with IEEE VAST 2006 are:
The combined Vis 2006 conference and InfoVis symposium make
this week in Baltimore the place to be to participate in this rapidly expanding