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<div>What's the score?: The 1st Workshop on Sports Data
Visualization</div>
<div>IEEE VIS 2013</div>
<div>Atlanta, Georgia</div>
<div>October 2013</div>
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<div><a href="http://workshop.sportvis.com">http://workshop.sportvis.com</a><br>
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<div>Few areas involve, generate, and celebrate data in the manner
that sports does. Almost any sport, be it individual or team,
produces large amounts of data as the result of matches, data that
lend themselves to statistical analysis.<br>
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<div>This area of sports analytics continues to gain popularity and
is perhaps most connected to the sport of baseball, largely
through the work of people like Bill James and books and films
such as Moneyball. More recently, other sports, including
basketball, soccer, professional football, ice hockey, and golf
have begun to be the focus of analytics research.</div>
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<div>Surprisingly, there have been few applications of visualization
presentation and exploration tools to sports data. General purpose
displays, interaction techniques, and tools like Tableau are often
used to present simple views of sports data, but complex structure
and relationships in the data frequently necessitate approaches
that leverage domain knowledge. Some sports-specific
visualizations exist (for example, the commonly used basketball
shot chart), but they have largely remained stagnant.
Special-purpose tools that allow people to explore and analyze
sports data interactively could not only enhance the enjoyment of
fans, but also assist media coverage and team officials' decision
making.</div>
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<div>This workshop will serve as the first meeting of researchers
and practitioners interested in presenting sports data through
visualization. It will provide an opportunity for those engaged in
this topic to interact and share their experiences. Hopefully, it
will spur growth in a new sub-area of data visualization for the
future.</div>
<div>All registered attendees of VisWeek are encouraged to attend
the workshop. In order to present a paper, it is necessary to have
your paper accepted.</div>
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<div>Papers</div>
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<div>We are soliciting papers and presentations covering topics
across the visualization spectrum, including visualization design,
presentation and storytelling techniques and tools, and more
traditional infovis tools for exploration. Work should focus on
topics specific to the use of visualization on sports data, rather
than general tools or techniques with only a tangential connection
to sports data.</div>
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<div>Specific topics of interest include, but are not limited to:</div>
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<div>* Design ideas and representations for sports data
visualizations,</div>
<div>* Visual methods for storytelling with sports data,</div>
<div>* Exploration and discovery within sports data,</div>
<div>* Data and visual analytics techniques for sports data,</div>
<div>* Visualization designs for specific sports domains,</div>
<div>* Visualization designs for specific target audiences (e.g.
officials, team managers, or the general public),</div>
<div>* Tools and techniques for visual representation or exploration
of data for a single game,</div>
<div>* Tools and techniques for visual representation or exploration
of data for multiple games or matches,</div>
<div>* Evaluation methodologies and guidelines.</div>
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<div>Papers can be up to eight pages long, with the length of the
submission corresponding to the technique's contribution. All
papers will be peer-reviewed by the workshop organizers.</div>
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<div>Dates</div>
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<div>* Deadline for submissions: September 6, 2013</div>
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<div>* Notification of acceptance: September 13, 2013</div>
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<div>* Camera ready papers due: September 20, 2013</div>
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<div>* Workshop October 2013 (date TBD)</div>
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<div>Submission</div>
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<div>Please email your submissions to <a
href="http://workshop-at-sportvis.com">workshop-at-sportvis.com</a>.</div>
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<div>All submissions should be formatted in the IEEE VIS format
style (<a
href="http://www.cs.sfu.ca/%7Evis/Tasks/camera_tvcg.html">http://www.cs.sfu.ca/~vis/Tasks/camera_tvcg.html</a>).
Submissions must be made in PDF.</div>
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<div>Organizers</div>
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<div>Rahul Basole, Georgia Institute of Technology</div>
<div>Edward Clarkson, Georgia Tech Research Institute</div>
<div>Andy Cox, The Weather Company and Crashing the Dance</div>
<div>Christopher Healey, North Carolina State University</div>
<div>John Stasko, Georgia Institute of Technology</div>
<div>Chad Stolper, Georgia Institute of Technology<br>
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