Projects

This course brings together students from a diverse set of backgrounds who will learn from an equally diverse group of faculty and outside experts in law, computer science, public policy, artificial intelligence, digital records management and preservation, philosophy, and machine learning how to identify real problems that might require technical or partially-technical solutions, the language in which to communicate between multiple disciplines, and the possible approaches for addressing the most pressing challenges.

A workshop on word embeddings, to demystify some of the technical aspects of language models and to invite learners to start thinking about how these important tools function in society.

Introduction to Python for the social sciences and humanities

The City through Data, Texts, Maps, and Networks

Material for a 3 day workshop on computational text analysis for humanists and social scientists

How data, algorithms, and AI shape and are shaped by society

Teaching material for a 2017 workshop in computational text analysis for humanists (and social scientists)

A short lesson on teaching text encoding to non-CS majors

Contemporary Social Theory, Graduate Level