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Jonathan Auerbach's research encompasses a broad range of topics at the intersection of statistics and public policy. He investigates measurement issues such as selection bias in mortality studies and examines traffic safety issues, contributing to studies on urban myths and statistical phenomena in New York City. His methodological interests include analysis of longitudinal data and causal inference, with a focus on utilizing data science techniques. Auerbach has served as a science policy fellow with the American Statistical Association and has experience as a researcher at the Center for Urban Research at the City University of New York, as well as an analyst for New York City’s Council. His work emphasizes the importance of urban analytics and open data for informed public policy.