Category: Spring 2019

Moral Questions of Data Science

This course explores, from a philosophical perspective, ethical questions arising from collecting, drawing inferences from, and acting on data, especially when these activities are automated and on a large scale. Topics include: bias, fairness, discrimination, interpretability, privacy, paternalism, freedom of speech, and democracy.

Meets Philosophy & Values, L&S Breadth Requirement

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Humanists on the Move

This class is about renaissance humanists and how we can use digital means, as well as traditional ones, to study them. Our particular focus is on the ways people were connected in the renaissance -- as patrons, as readers, as travelers, as correspondents. Students will gather data about the travels and connections of their individual humanists. Then, working in groups, they will form databases and use mapping and network analysis on their data to chart interconnections between these historical figures over time.

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