Computational Social Science and Public Policy Colloquium Series

Fri., May 05, 2017 | 4:30 PM — 6:00 PM

Computation Institute
5735 S Ellis Ave
Room 240A
Chicago, IL 60637
United States

Sponsored By: Center for Data Science and Public Policy & Knowledge Lab

Susan Murphy (University of Michigan) will give a talk for the Computational Social Science and Public Policy Colloquium. The Colloquium brings leading researchers and practitioners to The University of Chicago to talk about how they're using data, computation, and social science to understand and improve the world. 

Abstract:

A critical question in the development of mobile health interventions is, when and in which contexts, is it most useful to deliver treatments to the user.  This question concerns time-varying dynamic moderation by the context on the effectiveness of in-the-moment interventions on user behavior.   In this talk we discuss the micro-randomized trial design and associated data analyses for use in assessing moderation.   We illustrate this approach with  data from a micro-randomized mobile health trial: HeartSteps.

About the Speaker:

Susan Murphy

Dr. Murphy's current primary interest is in causal inference and multi-stage decisions, sometimes called dynamic treatment regimes. Dynamic treatment regimes are individually tailored treatments involving a sequence of decision rules that specify when to alter therapy. The decision rules employ variables such as patient response, risk, burden, adherence, and preference, collected during prior therapy.

For more background on Susan Murphy, please click here.

Questions? Please contact jtwalsh@uchicago.edu.