Collaborative Research - Visual Analytics Science and Technology Challenge Workshop

协作研究-视觉分析科学与技术挑战研讨会

• 批准号: 0925482
• 负责人: Catherine Plaisant
• 金额: $ 2.5万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0925482&HistoricalAwards=false
• 关键词: Collaborative; Research; Visual; Analytics; Science

This award supports the Visual Analytics Science and Technology (VAST) Challenge Workshop 2009. This workshop is bringing together individuals who participate in the VAST 2009 Challenge Competition taking place from February 2009 to July 2009 to present their results and discuss their experiences.Research on visual analytics is very timely, and it is clearly attracting a lot of interest in the research community. VAST 2009 is expected to contribute to the following goals: (1) focus the community on working on useful and realistic visual analytics problems, (2) compare and contrast systems developed or used by the participants, and (3) gather lessons learned from testing novel methodologies and metrics for evaluation. The workshop will bring visual analytics developers and evaluators together for a full day to present the results of the Challenge, and discuss lessons learned about evaluation. It will expose many researchers -- in particular students -- to the challenges of evaluating complex systems for use by analysts.Papers summarizing the challenge and workshop results will be widely disseminated, including the VAST 2009 Website (http://www.cs.umd.edu/hcil/VASTchallenge09/).

该奖项支持2009年视觉分析科学与技术（VAST）挑战研讨会。 本次研讨会将参加2009年2月至2009年7月举行的VAST 2009挑战赛的个人聚集在一起，展示他们的结果并讨论他们的经验。可视化分析的研究非常及时，显然吸引了研究界的大量兴趣。VAST 2009预计将有助于实现以下目标：（1）将社区集中在有用和现实的可视化分析问题上，（2）比较和对比参与者开发或使用的系统，以及（3）从测试新方法和评估指标中吸取经验教训。该研讨会将把可视化分析开发人员和评估人员聚集在一起，用一整天的时间来展示挑战的结果，并讨论有关评估的经验教训。讲习班将使许多研究人员，特别是学生，面临评估供分析人员使用的复杂系统的挑战，将广泛传播总结这一挑战的论文和讲习班的成果，包括在VAST 2009年网站（http：//www.cs.umd.edu/hcil/VASTchallenge09/）上传播。