Summer Institute in Computational Social Science

Due to the COVID-19 pandemic, the SICSS has been postponed until June 2021.

From the evening of June 14 to June 19, 2020, the Princeton University Center for Information Technology Policy will host a partner site for the Summer Institute in Computational Social Science.

The Princeton-CITP Summer Institute is unique among partner locations in its target population: individuals who work in government interested in using computational social science to improve the agencies and communities they serve.

The instructional program will involve lectures, group activities, and participant-led information exchange and problem solving. There will also be guest speakers from institutions and organizations who conduct computational social science research in a variety of policy-relevant settings. Topics covered include text as data, website scraping, digital field experiments, non-probability sampling, machine learning, network analysis, and ethics. There will be ample opportunities for participants to discuss their ideas and work with the organizers, other participants, and visiting speakers.

Participation is restricted to individuals working in government. Applicants should be currently in or transitioning to roles in which they use data to solve policy problems or improve public administration. Applicants should have some training in or job-related experience with datasets and using statistical tools.

Click here for more information and to apply by the deadline date of  ***