Professor Andrew Gelman is notable for his efforts to make political science and statistics more accessible to journalists and the public at large. He is a frequent contributor to the New York Times and one of the primary authors of The Monkey Cage, a blog dedicated to providing informed commentary on politics and making political science more accessible. Gelman also keeps his own highly-influential blog which deals with statistical practices in social science. He frequently writes about Bayesian statistics, displaying data, and interesting quantitative trends in social science.
Professor Gelman is a three-time recipient of the Outstanding Statistical Application Award from the American Statistical Associaion, and a Fellow of both the American Statistical Association and the Institute of Mathematical Statistics. He is the author of 223 scholarly articles and of four books including the critically acclaimed, Bayesian Data Analysis, which has been highly influential in bringing Bayesian methods into common practice.
In his talk, Professor Gelman will solicit audience participation in deciding whether to discuss
- Choices in statistical graphics,
- Little Data: How traditional statistical ideas remain relevant in a big-data world, or
- Weakly informative priors.