DataX Workshop Series

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With the support of a major gift from Eric Schmidt ’76, his wife Wendy, and the Schmidt Futures Foundation the Center for Statistics and Machine Learning (CSML) is pleased to sponsor the Data Science at Princeton Workshop Series.  These innovative and collaborative workshops in data science and machine learning are aimed at accelerating scientific discovery across Princeton University. The goal is to fund transformative inter-disciplinary workshops with high potential for subsequent impact on the broad research community.


Upcoming Workshops

April 9-10, 2021 | Social Biases in Machine Learning and in Human Nature: What Social Scientists and Computer Scientists Can Learn From Each Other

This 2-day virtual workshop explores social biases in machine learning and in human nature; what social scientists and computer scientists can learn from each other. We bring cutting-edge, innovative sociology, social psychology, cognitive science, and computer science perspectives on the interplay between stereotyping and human and artificial intelligence.

Registration is free.   Registration form and workshop agenda are available on the workshop webpage:  

July 13-14 | Accelerating Molecular Simulations with Machine Learning

Presented by Roberto Car, Chemistry and  Weinan E, Mathematics

Date TBD | Old and New Open Questions in Optimization

Presented by Nicholas Boumal, Electrical Engineering

Date TBD | Synthetic Control Methods

Presented by Matias Cattaneo, Operations Research and Financial Engineering
Event Page
Event Registration

Date TBD | Tutorial Workshop on Machine Learning for Experimental Science

Presented by Michael Churchill, Hantao Ji, William Tang
Princeton Plasma Physics Laboratory

Date TBD | Securing Machine Learning: Where Next?

Presented by Prateek Mittal, Electrical Engineering