About
I am a Distinguished Professor in the Department of Government and the Department of Mathematics & Statistics, a Member of the Center for Neuroscience and Behavior at American University, and the founding Director of the Center for Data Science. My research applies Bayesian modeling and data analysis (decision theory, testing, model selection, elicited priors) to questions in general social science quantitative methodology, political behavior and institutions, medical/health data analysis especially physiology, circulation/blood, pediatric traumatic brain injury, and epidemiological measurement/data issues, using computationally intensive tools (Monte Carlo methods, MCMC, stochastic optimization, non-parametrics).
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Byers, Jason S. and Gill, Jeff. “Applied Geospatial Bayesian Modeling in the Big Data Era: Challenges and Solutions”. Mathematics 2022, 10,4116.
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Slobogean, Gerard P., Greg Gaski, Jason Nascone, Marcus F. Sciadini, Roman Natoli, Theodore T. Manson, Christopher Lebrun, et al. “A Prospective Clinical Trial Comparing Surgical Fixation Versus Nonoperative Management of Minimally Displaced Complete Lateral Compression Pelvis Fractures”. Journal of Orthopaedic Trauma (2021, forthcoming)
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Gill, Jeff. “Political Science Is A Data Science”. Journal of Politics 83, no. 1 (2021): 1-7
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Gill, Jeff. “Measuring Constituency Ideology Using Bayesian Universal Kriging”. State Politics & Policy Quarterly 21, no. 1 (2021): 80-107
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Tenure Home: School of Public Affairs, College of Arts & Sciences
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