Ryan T. Moore
Associate Professor of Government, American University
Associate Director, Center for Data Science, American University
Senior Social Scientist, The Lab @ DC
I study statistical political methodology, with applications in American social policy — especially experiments and experimental design, causal inference, ecological and geolocated data, and reproducible social science. I also write statistical software and teach at American University. More below.

Upcoming & Recent News
- Jul 2026 Teaching 1I: Applied Causal Inference with Observational Data at ESS
- Jul 2026 Teaching 2K: Causal Inference and Experiments in the Social Sciences at ESS
- Dec 2025 The Public’s Science conference at the Institute for Advanced Study, Princeton, NJ
- Jan 2025
blockTools0.6.6 released on CRAN - Jul 2024 New paper in Nature Human Behaviour on a randomized experiment of nurse-led 911 triage
- Apr 2024 Awarded the Walter Beach Award by NCAPSA for “substantial contribution to strengthen the relationship between political science and public service”
Selected work
Nature Human Behaviour · 2024
A Randomized Controlled Trial Evaluating the Effects of Nurse-Led Triage of 911 Calls
Wilson, Johnson, Hatzimasoura, Holman, Moore, and Yokum
PDF · DOI · Project page
Journal of Public Policy · 2022
Anchor Management: A Field Experiment to Encourage Families to Meet Critical Programme Deadlines
Moore, Gan, Minnich, and Yokum
PDF · DOI · Replication
Political Analysis · 2012
Multivariate Continuous Blocking to Improve Political Science Experiments
Moore
PDF · Cambridge · blockTools
About
I have also been
- a long-time EGAP affiliate
- Visiting Scholar at the Institut Barcelona d’Estudis Internacionals (IBEI, 2021-22)
- Scholar in Health Policy Research at UC Berkeley/UCSF (2010–2012), funded by the Robert Wood Johnson Foundation
- Fellow in Methodology with the federal Office of Evaluation Sciences (OES, 2019-2025)
- Co-host of SLAMM! 2016 at American University
- Doctoral fellow at Harvard’s Inequality and Social Policy program
- Graduate associate of the Institute for Quantitative Social Science (IQSS)