Novel Machine Learning Methods for Computing Cultural Heritage: An Interdisciplinary Approach

We hope you will join us on Tuesday, February 22 at 4:30 pm for an event with Benjamin Lee (University of Washington).

Lee will share how his project, Newspaper Navigator, re-imagines how humanists, social scientists, and the public can navigate and analyze the visual content in millions of digitized historic newspaper pages. He will also introduce his ongoing work surrounding the development of open faceted search systems for petabyte-scale web archives and elaborate on how his research can extend to a wide range of digitized and born-digital collections. (learn more and register)

The event will be moderated by Jim Casey (Penn State) and Tianyi Wang (Princeton).

This event is part of the Machine Learning + Humanities Working Group Series and is co-sponsored by the Data-Driven Social Science Initiative and the Center for Statistics and Machine Learning. You are also invited to join the ML + Humanities Working Group for a discussion of the event on February 23 at 12:30 pm (details on our website).