Sean Tanner is a researcher with expertise in research design, machine learning, education policy, and methods of causal inference. Tanner has conducted natural experimental research on large-scale education policies such as Title I’s Schoolwide Program and California’s accountability system, as well as a methodological study of predictive performance in machine learning algorithms.
Tanner oversees large, multisite studies on the impact of education policies on student achievement. His work includes consulting with states and districts to determine rigorous and feasible study designs; leading a team of researchers using advanced statistical methods, surveys, and qualitative interviews; and disseminating the results to policymakers, education leaders, and academic audiences.
Institution
WestEd