2017

Joseph Jay Williams presents Perpetually enhancing human learning through dynamic, personalized, collaborative experimentation

Title: Perpetually enhancing human learning through dynamic, personalized, collaborative experimentation

Abstract: There is a...

Dean Eckles (MIT Sloan) presents "Estimating peer effects in networks with peer encouragement designs"

Peer effects, in which the behavior of an individual is affected by the behavior of their peers, are central to social science. Because peer effects are...

Michael Peress presents "Does Newspaper Coverage Mediate the Economic Vote?"

Do voters punish incumbent governments when economic performance is poor or when the media report that economic performance is poor? We draw on an original data set of over 2...

Paul von Hippel (UT- Austin) presents 

Title: Maximum likelihood multiple imputation: A more efficient approach to repairing and analyzing incomplete data

Abstract: Maximum likelihood multiple imputation (MLMI) is a form of multiple imputation (MI) that...

Matt Taddy (Chicago Booth) presentation 

Title:  Counterfactual Prediction with Deep Instrumental Variables Networks

Abstract:

We are in the middle of a remarkable rise in the use and capability of artificial intelligence. Much of this growth has been...