Open to PhD students and faculty engaged in causal inference in education research.
About the speaker:
Daniel Hubbard is a doctoral student in the economics department at the University of Michigan. His current projects include an evaluation of the effects of plant closings on college attendance and choice in Michigan and a study of the factors contributing to teachers' decisions to change jobs. He previously earned a bachelor degree in economics and Spanish from the University of Michigan in 2010. Before returning to Ann Arbor, he worked as a research coordinator at Columbia Business School's Paul Milstein Center for Real Estate.
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.