ACM-IMS Interdisciplinary Summit on the Foundations of Data Science

ACM-IMS 数据科学基础跨学科峰会

• 批准号: 1934146
• 负责人: Jeannette Wing
• 金额: $ 4.99万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2020-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934146&HistoricalAwards=false
• 关键词: ACM; IMS; Interdisciplinary; Summit; Foundations

The ACM-IMS Summit on the Foundations of Data Science will take place in San Francisco on June 15th, 2019. Society increasingly relies on data and computing to create knowledge, to make critical decisions, and to better predict the future. Data Science has emerged as a new field to support these data-driven activities by integrating and developing ideas, concepts, and tools from statistics, computer science and domain fields. Data science now drives fields as diverse as biology, astronomy, material science, political science and medicine, not to mention vast tracts of the global economy, key government activities, as well as quotidian social and societal functions. Intellectually, data science builds on the academic disciplines of computer science and statistics and, in turn, is profoundly impacting both disciplines. ACM, the Association for Computing Machinery (ACM), and IMS, the Institute of Mathematical Statistics, represent the key scholarly organizations in these areas, and the goal of the meeting is to bring them together to galvanize a new community that secures the foundations of data science.The Summit represents the launch event for a new ACM-IMS joint venture that has three goals: (1) provide a platform to ensure rich intellectual exchange and collaborations between computer scientists and statisticians; (2) emphasize the central role of data-science practice in informing the data-science research agenda; and (3) highlight the complexity and necessity of responsible data science. For this inaugural event, summit organizers have assembled a program that brings together top-flight scholars and practitioners from the two disciplines. In addition to high-profile keynotes, the program includes panels on deep learning, reinforcement learning, and the role of methods in data science, robustness and stability in data science, and fairness and ethics in data science. The meeting will conclude with a panel discussion on the future of data science. More information can be found at https://www.acm.org/data-science-summitThis 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.

关于数据科学基础的ACM-IMS峰会将于2019年6月15日在旧金山弗朗西斯科举行。社会越来越依赖数据和计算来创造知识，做出关键决策，并更好地预测未来。数据科学已经成为一个新的领域，通过整合和开发来自统计学，计算机科学和领域的想法，概念和工具来支持这些数据驱动的活动。数据科学现在推动着生物学、天文学、材料科学、政治学和医学等领域的发展，更不用说全球经济、关键政府活动以及埃塞俄比亚的社会和社会职能。从智力上讲，数据科学建立在计算机科学和统计学的学科基础上，反过来又深刻地影响着这两个学科。ACM（计算机协会）和IMS（数理统计研究所）代表了这些领域的主要学术组织，会议的目标是将它们聚集在一起，激发一个新的社区，确保数据科学的基础。峰会代表了一个新的ACM-IMS合资企业的启动活动，该合资企业有三个目标：（1）提供一个平台，确保计算机科学家和统计学家之间丰富的知识交流和合作;（2）强调数据科学实践在为数据科学研究议程提供信息方面的核心作用;（3）强调负责任的数据科学的复杂性和必要性。对于这一开幕式活动，峰会组织者已经汇集了来自这两个学科的顶级学者和从业者的计划。除了备受瞩目的主题演讲外，该计划还包括深度学习，强化学习，方法在数据科学中的作用，数据科学中的鲁棒性和稳定性，以及数据科学中的公平性和道德。会议将以关于数据科学未来的小组讨论结束。 更多信息可以在www.example.com上找到https://www.acm.org/data-science-summitThis奖项反映了NSF的法定使命，并被认为值得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来支持。