Andrew Gelman - Little Data: How traditional statistical ideas remain relevant in a big-data world (November 1)

"At the end of the day, after all the processing, big data are being used to answer little-data questions such as, Does an observed pattern generalize to the larger population?, or Could it be explained by alternative processes (sometimes called "chance")?  We discuss some recent ideas in the wolrd of "little data" that remain of big importance."

Andrew Gelman is one of the most widely-known applied statisticians in the world. As director of the Applied Statistics Center at Columbia University, he has done research on a wide range of topics, including: why it is rational to vote; why campaign polls are so variable when elections are so predictable; why redistricting is good for democracy; reversals of death sentences; police stops in New York City, the statistical challenges of estimating small effects; social network structure; toxicology; medical imaging; and methods in surveys, statistical inference, computation, and graphics and and more. He is also the author of a well-read blog, "Statistical Modeling, Causal Inference, and Social Science" (http://andrewgelman.com/) where he discusses various issues in scientific research generally.

You may contact Richard Morey, Department of Behavioural and Social Sciences (r.d.morey rug.nl) or Ernst Wit, Department of Mathematics(e.c.wit rug.nl) with any questions about the event.