I am working on a series of projects with coauthors exploring various methodological projects within experimental and computational social science. I am particularly interested in the appropriate use of machine learning methods for both helping to resolve measurement issues and for better understanding treatment effect heterogeneity in experimental research.
Experimental and Computational Social Science
Associated Research Papers
Raymond Duch, Denise Laroze, Thomas Robinson, Pablo Beramendi. Multi-modes for Detecting Experimental Measurement Error. Political Analysis, 2019.
Ranjit Lall, Alex Stenlake, Thomas Robinson. Applying the MIDAS Touch: A Fast and Scalable Approach to Missing-Data Imputation.. 2019.
Raymond Duch, Denise Laroze, Constantin Reinprecht, Thomas Robinson. Where Will the British Go? And why?. SSQ, 2019.