Encouraging Data Sharing and Reuse in the Field of Collective Behavior through Hackathon-Style Collaborative Workshops

通过黑客马拉松式的协作研讨会鼓励集体行为领域的数据共享和重用

• 批准号: 1838955
• 负责人: Simon Garnier
• 金额: $ 2.5万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1838955&HistoricalAwards=false
• 关键词: Encouraging; Data; Sharing; Reuse; Field

The investigators will bring together diverse researchers who work in the field of collective and emergent behavior. Collective and emergent behavior is the study of complex biological and social systems, ranging from bacterial colonies to human groups. The hackathon-style workshop draws researchers around identifying best practice mechanisms for sharing data, communicating methods of data analysis, and reusing publicly available data. The investigators propose a series of two workshops where teams of 2-5 participants work on a specific project during the duration of the 3-day event. An objective of the workshop is to foster novel collaborations between researchers in biology, data science, mathematics, computer science and physics, all of whom have an interest in collective behavior.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

研究人员将汇集在集体和紧急行为领域工作的不同研究人员。集体和涌现行为是对复杂的生物和社会系统的研究，从细菌菌落到人类群体。 黑客马拉松式的研讨会吸引了研究人员，以确定共享数据的最佳实践机制，交流数据分析方法，并重用公开可用的数据。 研究人员建议举办一系列的两个研讨会，在为期3天的活动期间，由2-5名参与者组成的团队就一个特定的项目开展工作。该研讨会的目的是促进生物学、数据科学、数学、计算机科学和物理学研究人员之间的新型合作，所有这些研究人员都对集体行为感兴趣。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。