Nuannuan Xiang has won the award for best graduate student poster at the 2020 Annual Meeting of the Society for Political Methodology. She shares the award with Melody Huang from UCLA. Nuannuan's poster is entitled, "A Gaussian Process Model for Causal Inference with Time Series Cross-Sectional Data."
Xiang's poster compares her GP model with the state of the art GSC model. The GP approach mostly returns tighter credible intervals, though it does not track the March 2020 shock to unemployment. The committee states, "We expect that the paper iteration of this poster will provide more guidance on what aspect of the model's nonlinearity leads to it's impressive ability to outperform the GSC."
Nuannuan Xiang is a Ph.D. student in the Department of Political Science at the University of Michigan. Her research interests are focused on democratization, opposition party building, and state building.