Causal Representation Learning with Generative Artificial Intelligence: Application to Images and Texts as Treatments
Speaker: Kosuke Imai (Harvard University)
Tuesday, April 1, TBD (Irish time)
Please register (opens in a new window)here to receive the link and password to the online meeting and information on the room at UCD.
Abstract: TBD
About the speaker: Kosuke Imai is Professor in the (opens in a new window)Department of Government and the (opens in a new window)Department of Statistics at Harvard University. He is also an affiliate of the (opens in a new window)Institute for Quantitative Social Science. Before moving to Harvard in 2018, Imai taught at Princeton University for 15 years where he was the founding director of the Program in Statistics and Machine Learning. Imai specializes in the development of statistical methods and machine learning algorithms and their applications to social science research. His areas of expertise include causal inference, computational social science, and survey methodology. Imai leads the (opens in a new window)Algorithm-Assisted Redistricting Methodology Project (ALARM) and served as an expert witness for several high-profile legislative redistricting cases. In addition, he is the author of (opens in a new window)Quantitative Social Science: An Introduction (Princeton University Press, 2017). Outside of Harvard, Imai served as the President of the (opens in a new window)Society for Political Methodology from 2017 to 2019.