Conference: UConn Sports Analytics Symposium: Engaging Students into Data Science

康涅狄格大学体育分析研讨会（UCSAS）将于2022年10月8日星期六举行，并于2023-2024年10月的第二个星期六举行。该研讨会旨在通过体育分析吸引更多传统数据科学专业以外的学生进入数据科学领域。由于技术水平、成本或空间限制，其他体育分析会议通常无法向学生开放，与此不同的是，UCSAS特别关注对体育分析和数据科学感兴趣的大学预科学生、本科生和研究生。该活动旨在向学生展示无障碍水平的体育分析，培训学生应用体育数据进行数据分析，并促进学术项目与体育产业之间的合作。该计划包括学生友好的主题演讲，学生海报比赛，不同级别的培训研讨会，数据挑战和职业小组，每个组成部分都突出了学生的需求。事件的所有结果将永久存档并开放访问。UCSAS从社会的角度加速了数据素养和“公民数据科学”运动。UCSAS在推进体育分析和一般数据科学领域的知识方面具有巨大的潜力。有充分的证据表明，作为体育和数据科学之间的接口，体育分析在吸引来自不同背景的学生更多地了解和擅长数据科学方面非常强大。UCSAS将对分析有共同兴趣的学生聚集在数据科学的保护伞下。它促进了整个分析和数据科学世界对体育分析的理解的进步。学生海报竞赛和数据挑战将激发对体育分析的创造性和潜在变革性贡献。针对不同层次的培训工作坊为学生参与数据科学提供了一个有效的启动模式。通过这些活动，UCSAS促进了学术界和体育产业之间的伙伴关系。除了网站和期刊出版物等标准渠道外，教育材料、主题演讲视频、海报提交和数据挑战提交将通过社交媒体和GitHub存储库广泛传播。有关研讨会的更多细节可在以下网址找到：https://uconnsportsanalytics.org/index.html.This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，认为值得支持。

The UConn Sports Analytics Symposium (UCSAS) will be held on Saturday, Oct. 8, 2022, and annually on the second Saturday in October 2023-2024. The symposium is designed to attract more students outside of traditional data science programs into data science through sports analytics. Unlike other sports analytics conferences that are often not accessible to students due to the technical level, cost, or space limitations, the UCSAS has a unique focus on pre-college, undergraduate, and graduate students who are interested in sports analytics as well as data science in general. The event aims to showcase sports analytics to students at an accessible level, train students in data analytics with application to sports data, and foster collaboration between academic programs and the sports industry. The program features student-friendly keynote presentations, student poster competitions, training workshops at different levels, data challenges, and career panels, with every component highlighting students' needs. All outcomes from the event are permanently archived with open access. The UCSAS accelerates the data literacy and "citizen data science" movements from society's perspective.The UCSAS has great potential to advance knowledge in sports analytics and the general data science field. It has been well-documented that, as an interface between sports and data science, sports analytics is extremely powerful in engaging students from different backgrounds to learn more about and become good at data science. The UCSAS brings students with a common interest in analytics together under a data science umbrella. It facilitates the advancement of understanding about sports analytics across the analytics and data science worlds. The student poster competition and the data challenge will stimulate creative and potentially transformative contributions to sports analytics. The training workshops tailored to different levels offer an effective jump-start model for engaging students in data science. Through these activities, the UCSAS fosters partnerships between academia and the sports industry. The educational materials, video recordings of the keynote presentations, poster submissions, and data challenge submissions will be widely disseminated via social media and GitHub repository in addition to standard channels such as websites and journal publications. More details about the symposium can be found at: https://uconnsportsanalytics.org/index.html.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.