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Machine Learning and Human Behavior Symposium

The last few years have seen an avalanche of new data sources providing scientists with a unique opportunity to study human behavior. In fact, much of the data now labeled as “Big Data” is generated by us, humans, as a result of our interactions with other people and our technologies. As we incessantly, tweet, email, or make online purchases, we also create new and insightful datasets.

This symposium is meant to bring together leading researchers from machine learning and the social sciences, each working at the interface between these disciplines to help us understand new opportunities and methodologies for better predicting human behavior.

Date: Friday, March 10, 2017
Time: 1:15  – 6:00 p.m.
Location: Calit2 Auditorium, UCI. Parking is $10 in the Anteater Parking Structure (directions)

This event has reached capacity. Please email academic-initiatives@uci.edu to be added to the waitlist.

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Check out Full Event Details
Time Description
1:15 – 1:30 p.m. Opening Remarks
Dean William Maurer, Ph.D., School of Social Sciences, University of California, Irvine
1:30 – 2:15 p.m. Susan Athey, Ph.D., The Economics of Technology Professor, Stanford Graduate School of Business
2:15 – 3:00 p.m. Jason Baldridge, Ph.D., Co-founder and Chief Scientist, People Pattern
3:00 – 3:15 p.m. Coffee Break
3:15– 4:00 p.m. Randall Lewis, Ph.D., Economic Research Scientist, Netflix
4:00– 4:45 p.m. Yisong Yue, Ph.D., Assistant Professor of Computing and Mathematical Sciences, Caltech
4:45 – 5:00 p.m. Closing Remarks
Padhraic Smyth, Ph.D., Director, Data Science Initiative
Professor of Computer Science and Professor of Statistics, UCI
5:00 – 6:00 p.m. Reception

 

This symposium is organized by Matthew Harding, Ph.D., Associate Professor of Economics and Sameer Singh, Ph.D., Assistant Professor of Computer Science, UC Irvine

Details

Date:
March 10
Time:
1:15 pm - 6:00 pm