Tom Lippincott (JHU) “Computational Intelligence for the Humanities”

February 24, 2020 @ 12:00 pm – 1:15 pm
Hackerman Hall B17
3400 N. Charles Street
MD 21218


A recurring task at the intersection of humanities and computational research is pairing data collected by a traditional scholar with an appropriate machine learning technique, ideally in a form that creates minimal burden on the scholar while yielding relevant, interpretable insights.

In this talk, I describe initial efforts to design a graph-aware autoencoding model of relational data that can be directly applied to a broad range of humanities research, and easily extended with improved neural (sub)architectures.  I then present results from an ongoing historical study of the post-Atlantic slave trade in Baltimore, illustrating several ways it can benefit traditional scholars. Finally, I briefly introduce a few additional historical and literary-critical studies, currently under-way in the Krieger school, that I hope to consider under the same framework in the coming year.


Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

Center for Language and Speech Processing
Hackerman 226
3400 North Charles Street, Baltimore, MD 21218-2680

Center for Language and Speech Processing