Broadening the Academic Data Science Community

学术数据科学联盟（ADSA）的成立是为了向全国高校广泛传播数据科学的新方法和最佳实践。ADSA的目标是为任何级别的学术数据科学家提供社区资源和活动，以分享研究进展和教育方法。ADSA还为大学领导提供了一个协作空间，分享他们在数据科学项目方面的挑战和成功故事。ADSA支持早期职业学术数据科学家的同行网络，以建立合作并在他们的校园中实施新颖的培训方法。该项目支持ADSA年会和数据科学领袖峰会。ADSA年会为任何级别的学术研究人员（研究生、博士后、工作人员和教职员工）提供了一个机会，共同解决数据科学研究、教育和培训、项目管理以及高等教育中数据科学家职业道路倡导方面的共同问题。数据科学领袖峰会召集了当前和新兴数据科学项目的负责人，以及有兴趣在校园内创建新举措的教师：组建数据科学学术社区；在面临类似挑战和机遇时分享最佳做法；并承担集体责任，培养下一代数据科学家，为社会的最大利益做出贡献。ADSA职业发展网络为早期职业学术数据科学家提供了一个同行网络，在他们的专业发展中相互支持。这些会议的成果已在网上公布，供公众审议。该奖项反映了美国国家科学基金会的法定使命，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。

The Academic Data Science Alliance (ADSA) was created to enable the broad dissemination of new approaches and best practices in data science to colleges and universities nationwide. ADSA’s goals are to provide community resources and events for academic data scientists at any level to share research advances and educational approaches. ADSA also provides a collaboration space for university leadership to share their challenges and success stories around programs for data science. ADSA supports a peer network of early career academic data scientists to forge collaborations and implement novel training approaches on their campuses. This project supports the ADSA Annual Meeting and the Data Science Leadership Summit. The ADSA Annual Meeting provides an opportunity for academic researchers at any level (graduate students, postdocs, staff researchers and faculty) to collectively address common issues in data science research, education and training, program administration, and advocacy for data scientist career paths in higher education. The Data Science Leadership Summit convenes heads of current and nascent data science programs, and faculty interested in creating new initiatives on their campuses: to form an academic community for data science; to share best practices where they face similar challenges and opportunities; and to take collective responsibility in preparing next-generation data scientists to contribute in the best interests of society. The ADSA Career Development Network provides a peer-network for early career academic data scientists to support each other in their professional development. Outcomes from these meetings are provided online for public consideration.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.