Data-Driven Social Science at Princeton Event (11/16)

Nov. 9, 2021

The Initiative for Data-Driven Social Science (DDSS) will host an informational event "Data-Driven Social Science at Princeton: New Frontiers in Research.” DDSS offers technical and financial support for innovation in data- and computationally-intensive social science research that generates multidisciplinary collaboration, impact, and public goods. This event will include presentations by current DDSS grantees working at the forefront of quantitative social science. Faculty, students, and researchers will also have the opportunity to learn more about the activities of the DDSS, available funding, and services offered by DDSS. 

Register here to attend this talk in person (PUID holders only) or via Zoom livestream.

Date: Tuesday, November 16th

Time: 4:30pm-6:00pm

Location: Aaron Burr Hall 219 (second floor)


Jonathan Mummolo, Assistant Professor of Politics and Public Affairs: "Computational Analysis of Police Body-Worn Camera Footage”

Hannah Waight, PhD Candidate, Sociology: "Propaganda is Increasing in China: Evidence and Implications” 

Jonathan Mayer, Assistant Professor of Computer Science and Public Affairs: "Rally: An Open Platform for Large-Scale Browser Based Studies”

Diana Tamir, Associate Professor of Psychology: "The Person Project: A Dynamic Platform for Large-Scale Social Science”

In-person attendance is currently available for registered Princeton University ID holders only and face coverings are required. In-person attendance is contingent on University guidelines for indoor events — updates will be posted as necessary. Please email [email protected] if you have any questions or wish to be removed from our mailing list.