Nuffield and CESS Santiago are pleased to announce the 2017 CESS Santiago Winter School on Experimental Social Sciences. The two-week course will take place in Santiago, Chile from 17 to 28 July in our centre there. You can find more details about the course on the Winter School webpage.
Registration is open for the University of Pennsylvania’s School of Medicine’s Causal Inference and Big Data Summer Institute (CBD) this July. The intensive four-day programme is made up of lectures from experts in the field, live demonstrations of data analysis and computer lab sessions. The event is aimed at practitioners in industry, researchers, and students who are interested in learning about these statistical methods and how to implement them in practice.
The school was cover a variety of topics including DAGs, propensity scores, matching, instrumental variables, time-dependent confounding, static and dynamic treatment regimes, marginal structural models, targeted maximum likelihood, precision medicine, EHR and mobile health. The event is sponsored by the Center for Causal Inference and the Center for Statistical Methods in Big Data.
For more information, including a list of the instructors and details of how to register, please visit the institute’s website.
The Bobst Center for Peace and Justice at Princeton University and the Social Science Experimental Laboratory (SSEL) at New York University Abu Dhabi are inviting social science PhD students, postdoctoral fellows, and junior Assistant Professors in experimental social science to submit a paper/research design to the Winter Experimental Social Sciences Institute (WESSI) Workshop at New York University Florence Italy, to be held September 15-16, 2017.
More info on WESSI Workshop.
Costly Voting: A Large-scale Real Effort Experiment (with Marco Faravelli and Carlos Pimienta)
We test the turnout predictions of the standard two-party, private value, costly voting model through a large, real effort experiment. We do this by recruiting 1,200 par- ticipants through Amazon Mechanical Turk and employing a 2 x 2 between subjects design encompassing small (N = 30) and large (N = 300) elections, as well as symmetric and asymmetric ones. We find evidence of the size effect in asymmetric elections and of the competition effect in large elections. We also find evidence of underdog effect in small elections but, contrary to theoretical predictions, we observe bandwagon behavior in large elections. We propose a behavioral model that accounts for these results.
8th Annual IGSS Conference
The Institute of Behavioral Science and University of Colorado Population Center are hosting the 8th annual conference entitled Integrating Genetics and the Social Sciences. The goal of this conference is to showcase behavioral and molecular genetic studies that enhance demographic and social scientific inquiry. The two day conference will include a 4 hour advanced statistical genetics workshop. Researchers from any of the biological or social sciences are encouraged to participate. More info on the conference website above.