IEEE InfoVis 2007 Contest
The contest participation category was introduced in 2003. The goal of the contest is to promote the development of benchmarks for information visualization, establish a forum to promote evaluation methods, and create an interesting event at the conference. Following the 2006 contest involving U.S. Census Data, we have chosen a widely analyzed and familiar data set with which to challenge the InfoVis community.
The data set consists of about Hollywood movies including actors, actresses, awards, and similar. This year's focus is on the design aspects of the visualization in addition to its exploratory and analytical aspects, and entrants are encourages to augment the data set with any publicly available data.
Contest entries are submitted as a two (2) page summary, a video and accompanying materials. All accepted entry materials will be made available online after the conference. At least one author of an accepted entry must attend the conference to present the work. Authors of first place entries will receive a prize and present their work during the main contest session. All entries will present their work during the poster session, and also through a brief summary of their work.
The contest is open to everyone (excluding the contest organizers and judges)—individuals or teams from academia, industry, or elsewhere. Students and student teams were highly encouraged to participate. Existing tools and research prototypes can have been used, and different tools can be combined where desired.
Submission Deadline: Friday, July 13, 2007, 5:00pm PDT
The best entries will be published in the IEEE InfoVis 2007 DVD Proceedings and in the IEEE Digital Library. All accepted entries will be posted after the conference in the Information Visualization Benchmark Repository. For best entries, a complementary registration for a team member will be provided. Other prizes may also be awarded.Chairs
Robert Kosara, University of North Carolina, Charlotte
T.J. Jankun-Kelly, Mississippi State University
Eleanor Chlan, Johns Hopkins University