CIERS: Ben Hansen, University of Michigan Department of Statistics
About Ben Hansen:
Dr. Hansen's research develops methods that aim to sharpen comparisons of subjects receiving an intervention to subjects receiving a control condition, particularly nonrandomized comparisons, and to improve communication and understanding of remaining uncertainties regarding effects of the intervention. He writes on statistical and computation issues related to matching, on diagnostics for randomized studies and for matched observational studies, on sensitivity analysis, and on propensity scores and related methods of dimension reduction sensitivity analysis, and he is a co-developer of R libraries for optimal matching and associated diagnostics.
The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies.
This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress. Discourse between these schools and departments creates a more complete community of education scholars, and provides a networking opportunity for students enrolled in a variety of academic programs who share common research interests. Open to PhD students and faculty engaged in causal inference in education research.