WICSS-Tucson

January 3 to January 9, 2021 | University of Arizona | Tucson, Arizona

University of Bamberg

From January 3 to January 9 of 2021, the SICSS core sponsors and the University of Arizona will sponsor the first Winter Institute in Computational Social Science, a partner site for SICSS. The purpose of the event is to bring together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. The event is for both social scientists (broadly conceived) and data scientists (broadly conceived).

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, non-probability sampling, mass collaboration, 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. Most participant costs during the workshop, including housing and most meals, will be covered, and most travel expenses will be reimbursed up to a set cap. We welcome applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science. About thirty participants will be invited, and participants are expected to fully attend and participate in the entire one-week program.

Application materials are due by June 1, 2020.

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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