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The VAST 2009 challenge will center on a cyber analytics
scenario: an employee is leaking important information to the outside world;
hypotheses about his identity and network need to be made or confirmed.
Three mini challenges :
·
Badge
and computer network traffic
·
Social
network with geospatial
·
Video
Also:
At KDD-09: a full day workshop on Visual Analytics VAKD’09
(June 28th,
Overview of the event
The VAST Challenge is a participation category of the IEEE VAST 2009 Symposium
(part of VisWeek 2009).
The VAST Challenge continues in the footsteps of the VAST 2006, 2007 contests and the 2008 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.
Questions? Send email to: challengecommittee(AT)cs.umd.edu
VAST 2009
Challenge Chairs
Georges Grinstein, University of
Massachusetts Lowell
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
Related URLS
SEMVAST project: Scientific
Evaluation Methods for Visual Analytics Science and Technology
Workshop
on Visual Analytics VAKD’09 (June 28th,
CG&A
Journal paper about the VAST 2007 contest
CG&A Special Issue on Visual Analytics Evaluation. (submission deadline passed – to
appear in April 2009)