Walter Mebane

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My primary project, election forensics, concerns using statistical analysis to try to determine whether election results are accurate. Election forensics methods use data about voters and votes that are as highly disaggregated as possible. Typically this means polling station (precinct) data, sometimes ballot box data. Data can comprises hundreds of thousands or millions of observations. Geographic information is used, with geographic structure being relevant. Estimation involves complex statistical models. Frontiers include: distinguishing frauds from effects of strategic behavior; estimating frauds probabilities for individual observations (e.g., polling stations); adjoining nonvoting data such as from in-person election observations.

Patrick Wu

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Year
2020-2021

Research Description
Using Neural Networks for political science research; general multimodal BERT.

Mentor
Prof. Walter Mebane, Political Science

Diogo Ferrari

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Graduation Year

2019

Thesis Title

Essays on the Micro-Foundations of Welfare Attitudes and Polarization of Policy Preferences

 

 

Blake Miller

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Graduation Year

2018

Current Job

Assistant Professor, Department of Methodology, London School of Economics and Political Science