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Davis-Kean et al. link children's self-perceptions to their math and reading achievement

Yang and Mahajan examine how hurricanes impact migration to the US

Patrick and colleagues analyze high-intensity drinking among adolescents

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Pamela Smock elected to PAA Committee on Publications

Viewing the eclipse from ISR-Thompson

Paula Fomby to succeed Jennifer Barber as Associate Director of PSC

PSC community celebrates Violet Elder's retirement from PSC

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Next Brown Bag

Mon, Sept 11, 2017, noon:
Welcoming of Postdoctoral Fellows: Angela Bruns, Karra Greenberg, Sarah Seelye and Emily Treleaven

ISR's Pasek and Conrad discuss the art and science of predicting election outcomes

a PSC In The News reference

"Numbers Cruncher" - Scientific American. 11/10/2016.

In another piece examining why the polls got it wrong in the presidential election, Josh Pasek and Fred Conrad look at assumptions, parameters, and other factors in polling models. Conrad says: “There are so many choices in building these models that it is an art in a lot of ways. It all becomes mathematical because it’s implemented in a model. But somehow intuitions are quantified.” While recognizing a "couple sources of systematic error that seemed to push everybody off a bit" in predicting the presidential race, Pasek says that in general the polls were a good barometer. Both researchers, and the others cited in this piece, agree some post-mortem self-examination will help make the election polling field stronger.

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