VAST 2007 Contest - Blue Iguanodon

Authors:
Georges Grinstein;Catherine Plaisant;Sharon Laskowski;Theresa O'Connell;Jean Scholtz;Mark Whiting
Affiliations:
University of Massachusetts, Lowell. grinstein@cs.uml.edu;University of Maryland. plaisant@cs.umd.edu;National Institute of Standards and Technology. sharon.laskowski@nist.gov;National Institute of Standards and Technology. toconnell@nist.gov;Pacific Northwest National Laboratory. jean.scholtz@pnl.com;Pacific Northwest National Laboratory. mark.a.whiting@pnl.gov
Venue:
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Year:
2007

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Abstract

Visual analytics experts realize that one effective way to push the field forward and to develop metrics for measuring the performance of various visual analytics components is to hold an annual competition. The second Visual Analytics Science and Technology (VAST) contest was held in conjunction with the 2007 IEEE VAST Symposium. In this contest participants were to use visual analytic tools to explore a large heterogeneous data collection to construct a scenario and find evidence buried in the data of illegal and terrorist activities that were occurring. A synthetic data set was made available as well as tasks. In this paper we describe some of the advances we have made from the first competition held in 2006.