Data Science Leadership Summit

数据科学领导力峰会

• 批准号: 1821451
• 负责人: Jeannette Wing
• 金额: $ 2.85万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-03-15 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1821451&HistoricalAwards=false
• 关键词: Data; Science; Leadership; Summit

The objective of this workshop is to convene leaders of data science initiatives across a number of research universities, in order to begin the formation of an academic community for data science. While there were only a few data science institutes/centers/initiatives at major research universities a few years ago, there are currently more than twenty such activities across public and private universities. This meeting will be the first ever convening of such a group, to allow for sharing of experiences and best practices in initiating teaching and research programs in data science. Meeting participants will discuss challenges and opportunities facing their respective institutions. One objective of the workshop group is to assume collective responsibility for preparing the next-generation data scientists in order to prepare them to be able to contribute towards the best interests of science and society.In addition to the data science leadership across different institutions, invitees to the summit will also include representatives of associated data science activities currently underway, including PIs of the NSF TRIPODS Phase I projects; participants in the NSF-funded NAS study on Envisioning the Data Science Discipline: The Undergraduate Perspective; and, organizers of NSF-sponsored workshops on Translational Data Science, Data Science Corps, and Keeping Data Science Broad: Negotiating the Digital and Data Divide.An express purpose of the summit is the formation of an academic community around data science research and teaching. Across the globe, numerous academic institutions are forming data science initiatives, leading to the recognition of Data Science as a discipline and/or as a key sub-disciplinary area. Much as the Computing Research Association (CRA) helped the computer science research community develop an identity, the organizers of this meeting believe that it will be helpful to initiate a community in data science leadership in the US, evolving into an organization like CRA for data science. This summit is the start of such a community-building effort. The intention is to initiate an organization dedicated to the enhancement of data science as a discipline, which can also convene activities to ensure a robust and growing data science community.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.

本次研讨会的目的是召集一些研究型大学的数据科学倡议的领导者，以便开始组建数据科学学术社区。虽然几年前主要研究型大学中只有少数数据科学研究所/中心/倡议，但目前公立和私立大学中有二十多个此类活动。这次会议将是此类小组的首次召开，以便分享启动数据科学教学和研究项目的经验和最佳实践。会议参与者将讨论各自机构面临的挑战和机遇。研讨会小组的目标之一是承担培养下一代数据科学家的集体责任，使他们能够为科学和社会的最大利益做出贡献。除了不同机构的数据科学领导力外，受邀者还出席峰会的还将包括目前正在进行的相关数据科学活动的代表，其中包括 NSF TRIPODS 第一阶段项目的 PI； NSF 资助的 NAS 研究“展望数据科学学科：本科生视角”的参与者；以及 NSF 赞助的转化数据科学、数据科学军团和保持数据科学广泛：协商数字和数据鸿沟研讨会的组织者。此次峰会的一个明确目的是围绕数据科学研究和教学形成一个学术社区。在全球范围内，众多学术机构正在制定数据科学计划，从而使数据科学被视为一门学科和/或一个关键的子学科领域。正如计算研究协会 (CRA) 帮助计算机科学研究界建立了一个身份一样，本次会议的组织者认为，在美国建立一个数据科学领导力社区，发展成为像 CRA 这样的数据组织，将大有裨益。科学。这次峰会是此类社区建设努力的开始。其目的是发起一个致力于增强数据科学作为一门学科的组织，该组织还可以举办活动以确保数据科学社区的强大和不断发展。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。