Biography

Ryan T. Moore is Associate Professor of Government at American University, Senior Social Scientist at The Lab @ DC, and Fellow at the US Office of Evaluation Sciences. Ryan’s research interests centre around statistical political methodology, with applications in American social policy. He develops and implements methods for political experiments, ecological data, missing data, causal inference, and geolocated data. Among his publications are sixteen peer-reviewed journal articles, a book chapter, and several software packages and applications. His work has appeared in Political Analysis, The Lancet, Nature Human Behaviour, the Journal of Public Policy, and the Journal of Policy Analysis and Management, among other outlets. Ryan received his Ph.D. in government and social policy, along with his A.M. in statistics, from Harvard University. http://www.ryantmoore.org

 

1I Applied Causal Inference with Observational Data – Essex Summer School in Social Science Data Analysis

2K Causal Inference and Experiments in the Social Sciences – Essex Summer School in Social Science Data Analysis