Speaker Event: Data Science in Social Science
Date: Tuesday, 6 Feb
Time: 6:30 – 8:00pm
Location: SOS B46
James Lo is Assistant Professor of Political Science at USC, and received his PhD from UCLA. His research focuses on the development of new quantitative tools to help political scientists answer substantive questions. Much of his work focuses on techniques designed to measure the ideology of voters and legislators. Before joining USC, he was a postdoctoral researcher at the University of Mannheim and Princeton University.
James’ talk, entitled “Latent Traits in the Social Sciences”, will provide an overview of how political scientists think about and learn from latent traits. Latent traits are hidden variables that explain a broader set of behavior, such as SAT scores or political ideology. We discuss what we can say about political polarization in the US, how we might measure it statistically, and what we can learn from these measures. Other uses of these models include applications to Twitter data and text data from Japanese campaign manifestos.
Dinner from Pasta Roma provided.