Le Bao (Chinese: 宝乐)
I am a Postdoc Fellow at the Massive Data Institute (MDI) of McCourt School of Public Policy, Georgetown University. I received my Ph.D. from the Department of Government at American University in 2022. I was also previously a Visiting Graduate Fellow at the Institute for Quantitative Social Science, Harvard University.
My broad research interests are in the fields of political methodology, political behavior, and environmental politics. Methodologically, I’m interested in Bayesian and nonparametric statistics, spatial statistics, survey methodology, and measurement. I’m also interested in integrating the aforementioned methods with other causal inference and computational methods. Additionally, as a data scientist, I am interested in statistical simulations, container computing, and reproducible research. My substantive interests include how contextual, institutional, and structural factors impact political behavior and environmental outcomes.
At MDI, I am currently working with the MOSAIC (Measuring Online Social Attitudes and Information Collaborative) and EIDC (Environmental Impact Data Collaborative) teams.
updates
May 24, 2024 | 北京大学全球风险政治分析实验室人工智能赋能的社会科学研究讲座 PKU RISK-A-LAB - AI for Social Science Series |
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Mar 18, 2024 | MDI Data Workshop: Spatial Data Analysis |
Mar 11, 2024 | Latest CV |
Aug 29, 2021 | Introduction to Political Research course at American University |
recent publications
- BookBayesian Social Science Statistics from the Very BeginningCambridge University Press, May 2024(Forthcoming)