Date & Time
Open to PhD students and faculty engaged in causal inference in education research.
From the speaker's bio:
Daniel Hubbard is a second-year doctoral student in the economics department at the University of Michigan. His fields of study include labor economics and development economics, with a focus in education. He also earned a bachelor's degree from Michigan in 2010, with concentrations in economics and Spanish. Between the times spent in Ann Arbor, he worked as a research coordinator at Columbia Business School, assisting in research conducted at the 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.