Unsolved Data Problems | Computer Science Department at Princeton University

Date and Time

Wednesday, March 13, 2019 - 4:30pm to 5:30pm

Location

Computer Science Small Auditorium (Room 105)

Type

Event

Host

Center for Digital Humanities, Department of Computer Science, and the Center for Statistics and Machine Learning

Website

https://cdh.princeton.edu/events/2019/03/unsolved-data-problems/

Unsolved Data Problems will introduce faculty and students in the computer and data sciences to the untapped research possibilities inherent in humanities data. A panel of Princeton faculty - Meredith Martin (English), Marina Rustow (History and Near Eastern Studies) and Dan Trueman (Music) - will discuss some of Princeton’s landmark digital humanities projects, and the challenges they’ve faced when transforming historical, multilingual and experimental source material into data and code.

Projects discussed include the Princeton Prosody Archive, the Princeton Geniza Lab, and bitKlavier. Jennifer Rexford and Brian Kernighan (Computer Science) will moderate the panel.

Help discover innovative algorithmic solutions to these unsolved computational problems. This panel will be of particular interest to researchers working in the fields of: computer vision, natural language processing, machine learning, and audio/music engineering.

This event is collaboratively organized by the Center for Digital Humanities, the Department of Computer Science and the Center for Statistics and Machine Learning.