Simon Hoellerbauer

Simon Hoellerbauer is a lecturer in the Data Analytics and Computation Social Science (DACSS) program at the University of Massachusetts Amherst. They teach core DACSS courses such as Fundamentals of Data Science and advanced electives such as Machine Learning for Social Science.

Simon earned their Ph.D. in Political Science from the University of North Carolina at Chapel Hill. Substantively, their research focuses on studying donor support of civil society in aid-receiving countries and the role of civil society in development and democracy assistance using survey experiments, observational analysis, and novel statistical models. Their methodological interests support their substantive focus and include the measurement of regime types and civil society, improvements of survey methodologies and analysis, external validity and generalizability, and using machine learning techniques to reinvestigate age-old questions of comparative politics.