Open Williams Faculty Lectures, Saturday, on Sports and on Forecasting
WILLIAMSTOWN, Mass. - The public is invited to attend two open lectures featuring Williams College faculty on Saturday, April 25.William Dudley, professor of philosophy, will discuss "Big Games: The Significance of Sports" at 11 a.m. in Brooks-Rogers Recital Hall. Dudley regularly teaches a course with the same title as this talk. He says, "Sports matter beyond all apparent reason. They are children's games yet grip adults.
They serve as entertainment yet are taken most seriously. They demand physical excellence yet drive athletes to injury and spectators to obesity. The significance of contemporary sports is unquestionable, but unexplained." In this talk, he will help his audience begin to understand why sports matter.
Dudley graduated from Williams in 1989 and earned his Ph.D. in philosophy from Northwestern University in 1998. He is the author of "Hegel, Nietzsche, and Philosophy" and "Understanding German Idealism."
Richard D. De Veaux, professor of statistics, will deliver a lecture "What's that in the road - a head? Why we can't seem to forecast anything" at 2 p.m. in the Bronfman Science Center auditorium.
"Last summer oil hit $147 a barrel. Forecasts for this winter put the price of oil at anywhere from $200 to $250 a barrel. What happened?" De Veaux asks. "The year 2008 had to be the poster child for exposing our inability to predict - from oil prices to the stock market to the global economy. Why aren't we able to do better than that?" In this talk, he will address the difference between situations where models do work and where they are hopeless with lots of historical (and hysterical) examples.
De Veaux's research interests focus on data mining methodology and its application. He is the author of several widely used statistics textbooks, lauded for their accessible writing style including "Intro Stats," "Stats: Data and Models," "Stats: Modeling the World," and "Business Statistics." He received his A.B. from Princeton University and his Ph.D. in statistics from Stanford University.
