Conference: Workshop on Sports Analytics to Strengthen Data Science Undergraduate Curriculum

该项目旨在通过促进数学和计算机科学界之间日益增长的互动来服务于国家利益，并有兴趣通过体育分析来改善数据科学的本科教育。该项目由戴维森学院和约翰逊·C·史密斯大学的教职员工领导，将支持基于证据的实践框架的发展，以支持来自不同社区的数学和计算机科学专业的学生取得成功，帮助他们在数据分析领域感到被纳入和被重视。项目组成部分包括成立一个专家咨询委员会、一次体育产业专业人员的会前会议、一次为期两天的工作虚拟讲习班，参加者来自不同类型和规模的高等教育机构，以及一份会后报告，其中载有资源和各机构之间未来合作的框架。项目活动将考虑：1)在数据科学领域创建多种教育途径的体制和文化障碍，2)适应或实施课程创新所需的工具和基础设施，3)不同机构类型和学生群体的不同挑战和机会，4)公平、道德、问责和透明度的方法(FEAT)，5)利用合作伙伴关系，通过跨机构/组织的教员和专业网络弥合差距。NSF IUSE：EDU计划支持研究和开发项目，以提高所有学生STEM教育的有效性。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project aims to serve the national interest by fostering the growing interactions between the mathematics and computer science communities with interests in improving undergraduate education in data science through sports analytics. The project, led by faculty from Davidson College and Johnson C. Smith University, will support the development of a framework of evidence-based practices that support success of mathematics and computer science majors from diverse communities to help them feel included and valued in the field of data analytics. Project components include the formation of an expert advisory board, a pre-conference meeting with sports industry professionals, a two-day working virtual workshop with participants from various types and sizes of institutions of higher education, and a post-conference report with resources and a framework for future collaboration among institutions. Project activities will consider: 1) institutional and cultural barriers to creating multiple educational pathways in data science, 2) tools and infrastructure needed to adapt or implement curriculum innovations, 3) differing challenges and opportunities across varied institution types and student populations, 4) approaches to fairness, ethics, accountability and transparency (FEAT) and 5) leveraging partnerships and bridging gaps through faculty and professional networks across institutions/organizations. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students.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.