Ryan T. Mooreمشاهده پروفایل
دانشیار
- Statistical Methods
- Causal Inference
- American Politics
- +۱۰ مورد دیگر
Ryan T. Moore is an Associate Professor in the Department of Government at American University's School of Public Affairs in Washington, DC. He also serves as Associate Director of the Center for Data Science at AU and as Senior Social Scientist with The Lab @ DC. His work bridges academic research and policy implementation through rigorous methodological approaches. Education: PhD, Harvard University AM, Harvard University BA, Yale University Moore's research centers on statistical political methodology with applications in American social policy. Methodologically, he develops approaches for political experiments, ecological data, missing data, causal inference, and geolocated data. Substantively, he examines federalism, direct democracy, and the politics of old age pensions and health care. His work integrates quantitative methods with practical policy applications through collaborations with government agencies. His recent publications demonstrate a consistent focus on causal inference methods applied to social policy questions, particularly in health care, housing stability, and 911 emergency response systems. Moore frequently collaborates with government entities to implement research within policy contexts, reflecting his commitment to evidence-based governance. Scientific Awards: Walter Beach Award (2024) for "substantial contribution to strengthen the relationship between political science and public service" Robert Wood Johnson Foundation Scholar in Health Policy Research (2010-2012) Fellow in Methodology, Office of Evaluation Sciences (2019-2025) Inequality and Social Policy Program Doctoral Fellow at Harvard Institute for Quantitative Social Science Graduate Associate at Harvard Evidence in Governance and Politics (EGAP) Affiliate Moore has received significant grant funding supporting his work at the intersection of methodology and policy. His collaborations with The Lab @ DC and other government entities demonstrate his commitment to implementing research within governmental contexts. He has developed several software packages including blockTools for randomized experiments, muRL for eJobs scraping, and Milieu for iOS surveys that support methodological research in political science. Moore leads research teams including The Lab @ DC, where he serves as Senior Social Scientist, and the Center for Data Science at American University, where he is Associate Director. His work often involves interdisciplinary teams combining political scientists, data scientists, and policy practitioners to address complex governance challenges through evidence-based approaches.






