Fellows come from all over the university, bringing their particular passions and living out the public purpose of their discipline through teaching and researching in, with and for community.
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Stephen Hilgartner is part of a team — with Engaged Faculty Fellows Malte Ziewitz and Sarah Sachs — that is developing, teaching and evaluating a new community-engaged undergraduate course called the Data Science & Society Lab. Funded by the Data Science Curriculum Initiative, the course brings together students from different majors to explore social and ethical problems in data science through a mix of interactive lectures and hands-on projects.

Examples of project challenges may be a systematic analysis of a recent ethical controversy for an NGO or local charity, a proposal for best practices for the problem of consent in large-scale data sets or a public resource for citizens who feel discriminated against by a data science application.