This May, the University Libraries will host a Summer Institutes in Computational Social Science (SICSS) session in Pittsburgh. Led by Social Sciences Librarian Di Yoong and Open Knowledge Librarian Emily Bongiovanni, SICSS aims to bring together graduate students, postdoctoral researchers, staff and faculty interested in exploring computational methods through interdisciplinary work.
Social scientists, digital humanists, and data scientists can participate in SICSS to explore topics like text as data, network analysis, ethics, open science and data literacies — especially if they have limited experience in computational methods and want to build confidence to expand their research.
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 and digital humanities research in a variety of settings, such as academia, industry, and civic data.
Participants will have opportunities to discuss their ideas and research with the organizers, other participants, and visiting speakers. Because the Libraries is committed to open and reproducible research, all materials created by faculty and students for the Summer Institute will be released open source.
The program runs from May 12 through May 23, 2025, and participation is open to graduate students (including masters students), postdoctoral researchers, staff, and early-career faculty. Applicants from all backgrounds and fields of study are encouraged to apply, especially those who identify with having limited experiences in computational methods. Participants are expected to fully attend and participate in the entire 10-day program.
Application materials are due on Friday, March 7. Please reach out to sicss@andrew.cmu.edu with any questions.
Image Source: SICSS