Research Reproducibility, Social Sciences
Causal Inference, Computational Tools for Data Science, Data Management, Data Munging, Data Quality, Data Security and Privacy, Data Visualization, Longitudinal Data Analysis, Missing Data and Imputation, Statistical Inference, Statistical Modeling

Matthew VanEseltine

Research Investigator

Survey Research Center, Institute for Social Research

Dr. VanEseltine is a sociologist and data scientist working with large-scale administrative data for causal and policy analysis. His interests include studying the effects of scientific infrastructure, training, and initiatives, as well as the development of open, sustainable, and replicable systems for data construction, curation, and dissemination. As part of the Institute for Research on Innovation and Science (IRIS), he contributes to record linkage and data improvements in the research community releases of UMETRICS, a data system built from integrated records on federal award funding and spending from dozens of American universities. Dr. VanEseltine’s recent work includes studying the impacts of COVID-19 on academic research activity.