Every Sunday, I flip open the New York Times Magazine to the weekly social commentary, "The Way We Live Now," and I check out the accompanying data presentation graphic. First, I think, "That looks cool." Then, for the next several minutes, I wonder, "What does it mean?" I'm usually looking at an illustration like this:
The mayor of New York, Michael Bloomberg, announced today that the city is proceeding with its plan target poverty using cash incentives for school attendance, medical checkups and the like. The first phase of the plan is an experimental test of the efficacy of the incentives. From the NY Times: Read more about New York's anti-poverty experiment
As many of you know, Harvard is on spring break this week, so the Applied Statistics Workshop will not meet. Please join us next Wednesday, April 4, for a presentation by Professor Richard Berk of the University of Pennsylvania. And for those of you at Harvard, enjoy some time off (or at least some time without students!).
With the ice melting and the birds chirping it’s the time again for planning the summer. Here a few worthwhile reasons not to be stuck behind your desk all summer. Maybe these are not the most exotic events and locations but at least they are ‘productive’ and you won’t feel guilty for being away. Read more about Efficient Vacationing, Summer 2007
Empirical, particularly quantitative empirical, scholarship is all the rage these days in law schools. (By the way, as a quantitative legal empiricist,that makes me really nervous. If there's one constant in legal academia, it's that things go in and out of style as fast in law schools as they do in Milan fashion shows.) Read more about Judicial Decisions as Data Points
This week, the Applied Statistics Workshop will present a talk by Ken Kleinman, associate professor in the Department of Ambulatory Care and Prevention at the Harvard Medical School. Professor Kleinman received his Sc.D. from the Harvard School of Public Health. He has published widely in journals in medicine and epidemiology. His statistical research centers mainly on methods for clustered and longitudinal repeated measures data. Read more about Applied Statistics - Ken Kleinman