Christopher Barrie, New York University, "Reasoning models and synthetic data generation"

The Toronto Data Workshop brings together academia and industry to share data science and AI best practice. We are broadly interested, but especially in the code- and data-centric aspects of a project that are often glossed over. We meet weekly for an hour and most talks are recorded.

This week Christopher Barrie will be discussing "Reasoning models and synthetic data generation".

Everyone is welcome. The meeting will be help online via Zoom.

BIO: Christopher Barrie is an Assistant Professor of Sociology, at New York University as well as Core Faculty at CSMaP and a Research Fellow at the Department of Sociology at the University of Oxford. His research interests include computational methods, generative AI, political attitudes, communication, protest, conflict and MENA. He holds a DPhil in Sociology from Oxford.