Max Griswold is an adjunct associate policy researcher at RAND and a professor of policy analysis at the RAND School of Public Policy. He is a quantitative social scientist whose research examines how housing, substance-use, and public safety policies affect community health and housing stability. His work combines causal inference, machine learning, and large-scale administrative data to study opioid policy, alcohol-related harms, nuisance ordinances, and evictions.
More recently, Griswold’s research has focused on applying computational social science and artificial intelligence methods to housing instability and substance-use policy. His work has appeared in peer-reviewed journals including The Lancet, Nature, and Political Analysis, and has been featured in The New York Times, The Washington Post, and the Los Angeles Times. Griswold received his Ph.D. in policy analysis from the RAND School of Public Policy.
Ph.D. in policy analysis, Pardee RAND Graduate School; M.A. in economics, University of Texas at Austin; B.S. in economics, philosophy, math, Ohio State University
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