Data-Driven Social Science at Princeton: New Frontiers in Research

Nov. 7, 2022

Please join the Initiative for Data-Driven Social Science (DDSS) at its 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 or via Zoom livestream.


Date: Monday, November 14th

Time: 4:30pm-6:00pm

Location: Aaron Burr Hall 219 (second floor)



Angelina Wang, PhD Candidate, Computer Science, "The Role of Stereotypes in Machine Learning”

Haran Sened, Postdoctoral Fellow, Princeton Social Neuroscience Lab
"Developing New Tools for Measuring Emotions and Self-Awareness” 

Grigore Pop-Eleches, Professor of Politics and International Affairs, Politics and SPIA"Dynamic Estimates of Survey Question Answers Using Publicly Available Social Media Data”

Musashi Jacobs-Harukawa, Postdoctoral Research Associate, Initiative for Data-Driven Social Science
"Learning from Machines: Differentiating Political Speech with Attribution and Annotation"


In person attendance is strongly encouraged. Food will be served.