Sessions » VAST Overview & Topics
IEEE Symposium on Visual Analytics Science and Technology (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 (IEEE Vis) and the IEEE Information Visualization Conference (IEEE InfoVis), includes both fundamental research contributions within visual analytics as well as applications of visual analytics, including applications in science, security and investigative analysis, engineering, medicine, health, media, business, and social interaction. We invite you to participate in IEEE VAST 2009 by joining us in Atlantic City, New Jersey, in Atlantic City, New Jersey, October 11 - 16, 2009.

IEEE VAST 2009 is part of IEEE VisWeek 2009 which also features:

IEEE Vis 2009  IEEE Visualization Conference
IEEE InfoVis 2009  IEEE Information Visualization Conference

The combined conferences with IEEE VAST 2009 make IEEE VisWeek in Atlantic City the place to in Atlantic City the place to be to participate in this rapidly expanding field.

We solicit papers in the traditional core of the visualization area. Topics of interest include, but are not restricted 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,
  • Mathematical foundations of data tranformations to allow interactive visual analysis,
  • Algorithms and technologies which are fundamental for visual analytics, including user and device adaptivity, web interfaces and mobile devices,
  • Applications of visual analysis techniques, including but not limited to applications in science, engineering, humanities, business, public safety, commerce, and logistics as far as they contribute to Visual Analytics
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