SICSS-Princeton

June 14 to June 25, 2021 | Princeton University | Virtual event

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From Monday, June 14 to Friday, June 25, 2021, the Russell Sage Foundation will sponsor the Summer Institute in Computational Social Science, to be held virtually at Princeton University. The purpose of the Summer Institute is to bring together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. The Summer Institute is for both social scientists (broadly conceived) and data scientists (broadly conceived). The co-organizers and principal faculty of the Summer Institute are Chris Bail and Matthew Salganik.

The instructional program will involve lectures, group problem sets, and participant-led research projects. There will also be outside speakers who conduct computational social science research in a variety of settings, such as academia, industry, and government. Topics covered include text as data, website scraping, digital field experiments, machine learning, and ethics. There will be ample opportunities for students to discuss their ideas and research with the organizers, other participants, and visiting speakers. Because we are committed to open and reproducible research, all materials created by faculty and students for the Summer Institute will be released open source.

Participation is restricted to Ph.D. students, postdoctoral researchers, and untenured faculty within 7 years of their Ph.D. We welcome applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science. About 30 participants will be invited, and participants are expected to fully attend and participate in the entire program.

Application materials are due Monday, February 22, 2021 at 11:59 ET.

Because of the COVID-19 pandemic, all events will take place online.

Host a Location

You can host a partner location of the Summer Institutes of Computational Social Science (SICSS) at your university, company, NGO, or government agency.

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