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.
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.
For questions, please email email@example.com.VAST Symposium Chairs
Richard May, NVAC
Jörn Kohlhammer, Fraunhofer IGD
IEEE VAST 2009 is part of IEEE VisWeek 2009, which also
|IEEE InfoVis 2009||IEEE Information Visualization Conference|
|IEEE Visualization 2009||IEEE Visualization Conference|