I am a postdoctoral research associate at Princeton University's Politics Department. I’m interested in big data statistical techniques and machine learning tools useful for social scientists in topics like predicting conflict and identifying higher order interactions (clusters of associated variables) in complex data. My research agenda in political methodology includes considering in what ways predictivity and statistical significance are and are not related as well as designing statistics that help measure predictivity. I also have an interest in comparative development, focusing on ethnic and behavioral politics as well as explorations in survey methodologies used in the field. I received my doctorate degree in Political Science from the University of California, San Diego in June 2016. My dissertation, conducted under Professor James Fowler, was entitled “Prediction and variable selection in political science.”


Email: lo.adeline@gmail.com
Position: Postdoctoral research associate

Website: Adeline Lo
Institution / Affiliation : Princeton University

Geographical Region: Africa
Methodology: Experimental Design, Field Experiments, Statistics, Survey Methodology
Policy: Conflict and Violence, Development, Elections, Ethnic Politics