Machine Learning + Humanities Working Group

Project team

Machine Learning + Humanities Working Group

How can machine learning advance research in the humanities? What new challenges can humanities problems pose for machine learning? What insights can humanistic perspectives bring to bear upon the social and cultural dimensions of machine learning?

The new ML + Humanities Initiative at Princeton aims to bring together students and researchers from across disciplines who are interested in the intersections of machine learning and the humanities. Our goal is to create venues for interdisciplinary conversation and collaboration through invited talks, panels and social gatherings.

Keep an eye out for upcoming events for the 2021-22 academic year, which include the panel discussion Machine Predictions and Synthetic Text on October 26, a talk on Novel Machine Learning Methods for Computing Cultural Heritage: An Interdisciplinary Approach by Ben Lee (University of Washington) on February 22, and, in May, a talk by David Bamman (Berkeley).

Join us for a series of informal lunches, where we will discuss topics ranging from the ethical questions raised by large language models, to natural language processing and literary texts, to computer vision and digital cultural heritage, to object detection models for reading historical newspapers.

Meeting dates are:

All meetings are 12:30-1:30 pm at the CDH, on B Floor of Firestone Library. At this time, in-person capacity is limited to 20 people. Registration is required; please see event information (click on the individual meeting dates above). A Zoom option will be available. Attendance (both in-person and remote) is limited to Princeton affiliates.

ML+H meetings are open to Princeton undergraduates, graduate students, postdocs, staff and faculty.

Questions can be directed to: