VAST Challenge 2010
IF YOU ARE NOT AUTOMATICALLY REDIRECTED TO A NEW WEBSITE, PLEASE GO TO http://hcil.cs.umd.edu/localphp/hcil/vast10/index.php for full VAST CHALLENGE website and dataset download.
The 1st mini-challenge involves text documents; the second mini-challenge use medical record data and death records. The third mini-challenge asks you to analyze genetic sequences.
The VAST 2010 Challenge will follow a format similar to the 2008 and 2009 Challenge. Please refer to the website of those previous years for examples.† We will send email to everyone who registered with a valid address when downloading a 2008 or 2009 challenge data set.
Overview of the event (unchanged since 2009)
The VAST Challenge is a participation category of the IEEE VAST 2010 Symposium (part of VisWeek 2010). The VAST Challenge continues in the footsteps of the VAST 2006, 2007, 2008 and 2009 Challenge with the purpose of pushing the forefront of visual analytics tools using benchmark data sets and establishing a forum to advance visual analytics evaluation methods. We also hope it will speed the transfer of VA technology from research labs to commercial products, and increase the availability of evaluation techniques.
In order to provide more opportunities for increased participation we offer an overall Grand Challenge as well as several smaller Mini Challenges.† Teams may enter one or more mini Challenges independently of the entering the Grand Challenge.† ALL teams submitting an entry to a VAST Challenge will be invited to discuss their work during a challenge workshop.
Entries will be judged on both the correctness of the analysis (based on the availability of ground truth) and the utility of the tools in conducting the analysis. Participants have several months to prepare their submissions.
Although the grand and mini-challenges are currently focused on homeland security topics we want to emphasize that both the problems and their solutions are indicative of very broad applicability. The challenges are very similar and representative of data sets that deal with medical, health, financial, educational, transportation, or social data. In fact it is our strong belief that good tools that succeed in solving the mini or grand challenges will easily apply to a broader collection of data sets, and we encourage individuals and groups from all disciplines to not only participate in the challenges but in the workshop and future planning of the VAST challenge activities.†
∑ Early March†††††††††††††††††††††††††††††††††††††††† Sample data available
∑ End of March ††††††††††††††††††††††††††††††††††††† Final data set and tasks available
∑ June 29†††††††††††††††††††††††††††††††††††††††††††††† Submissions deadline
∑ August 10 †††††††††††††††††††††††††††††††††††††††††† Results available
∑ August 25††††††††††††††††††††††††††††††††††††††††††† Deadline for award winners to submit 2-page summary for inclusion in the proceedings
∑ October 24-29††††††††††††††††††††††††††††††††††††† VAST Symposium
Questions? Send email to: challengecommittee(AT)cs.umd.edu
VAST 2010 Challenge Chairs
Georges Grinstein, University of
Catherine Plaisant, HCIL, University of Maryland
Jean Scholtz, Pacific Northwest National Laboratory
Mark Whiting, Pacific Northwest National Laboratory
Contact us:† challengecommittee(AT)cs.umd.edu
Workshop on Visual Analytics VAKDí09 (June 28th, Paris France).
CG&A Special Issue on Visual Analytics Evaluation. (published in April 2009)