DSI Distinguished Lecture - Dylan Small

This is a past event

The Data Science Institute is very happy to have Dr. Dylan Small, Director, Class of 1965 Wharton Professor of Statistics Fellow of American Statistical Association (ASA), Department of Statistics, The Wharton School, University of Pennsylvania, visiting for a Distinguished Lecture co-hosted by DSI and the Department of Applied Economics and Statistics.


Title: Causal Inference about Gun Violence Prevention


Abstract: Gun violence is a problem in America. There are many unresolved questions about what policies would reduce gun violence.  I will discuss two attempts at causal inference about gun violence prevention policies that I have worked on, and highlight some ideas about causal inference I have sought to use in this work.


Speaker Bio: Dylan S. Small is the Class of 1965 Wharton Professor of Statistics at The Wharton School, University of Pennsylvania, where he serves as Associate Scholar of the Center for Clinical Epidemiology and Biostatistics and Senior Fellow of the Leonard Davis Institute of Health Economics. He received his Ph.D. in statistics from Stanford University and is an IMS Medallion Lecturer and ASA Fellow. His research interests include causal inference, design and analysis of observational studies, design and analysis of experiments, and applications of statistics to public health, medicine and public policy. He is the Editor for Observational Studies and Associate Editors for The Annals of Statistics, Journal of the American Statistical Association, Journal of Causal Inference, Journal of Educational and Behavioral Statistics, and The American Statistician. He is also honored as an IMS Medallion Lecturer and ASA Fellow.

For any questions concerning the seminar or the speaker, contact Wei Qian, Statistics Seminar Coordinator,

Friday, November 8, 2019 at 10:00am

Townsend Hall, 132
Townsend Hall, University of Delaware, Newark, DE 19716, USA

Event Type

Students, Lectures & Programs, Community, Lectures and Programs



Applied Economics & Statistics, Data Science Institute


Contact Email

Contact Name

Wei Qian


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