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The Michigan Data Science Team: A Data Science Education Program with Significant Social Impact

机译:密歇根州数据科学团队:一个具有重要社会影响的数据科学教育计划

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One role of universities is to provide students with the practical knowledge necessary to address broad societal needs. The growing field of data science has the potential to address many of these needs, primarily due to recent efforts to collect large amounts of data related to social, environmental, and political issues. A challenge is that there exists a disconnect between these real-world issues and the course materials taught to university students. This gap is due in part to a lack of engagement between universities and their local communities, leaving students with few opportunities to work with datasets relevant to real-world problems. To address this disconnect, the authors have implemented a novel data science education and outreach program in which students acquire new knowledge and skills while creating positive social impact through community service. In this work, we outline this outreach program, the Michigan Data Science Team, and provide empirical evidence of positive educational and social impact.
机译:大学的一个角色是为学生提供符合广泛社会需求所必需的实践知识。越来越多的数据科学领域有可能解决许多这些需求,主要是由于最近努力收集与社会,环境和政治问题有关的大量数据。挑战是,这些现实世界问题与向大学生教授的课程材料之间存在脱节。这种差距部分是由于大学及其当地社区之间缺乏参与,让学生几乎没有机会与与现实世界问题相关的数据集一起使用。为了解决这一问题,作者已经实施了一种新的数据科学教育和外展计划,其中学生通过社区服务创造积极的社会影响。在这项工作中,我们概述了这个外展计划,密歇根州数据科学团队,并提供了积极的教育和社会影响的经验证据。

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