Ryan T. Moore
  • Home
  • CV
  • Research
  • Software
  • Teaching
  • Contact
  • ORCID

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.

CV GitHub More GitHub Google Scholar ORCiD

Photo of Ryan T. Moore

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 blockTools 0.6.6 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)

© 2002–2026 Ryan T. Moore

 

Built with Quarto · Source