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The two-week Summer Institute in Computational Social Science introduces graduate students and beginning faculty in the social and data sciences (broadly conceived) to computational social science—the use of digital-age data sources and methods to conduct social research. The program will highlight issues about access, privacy, and confidentiality that are raised by the emergence of computational data and methods. The institute will also introduce participants to a network of scholars across disciplines with similar interests in these new data and methods.

RSF offers intensive, one-to-two-week summer institutes on various topics for doctoral students and early-career scholars. Most participant costs during the institute, including housing and most meals, are covered, and travel expenses are reimbursed up to a set cap. Participants are required to fully attend all sessions of the program and some institutes require participants to complete some assignments in advance.