From June 26 to July 2, 2023, the Center for Applied Social and Economic Research at NYU Shanghai will sponsor and host its first ever Summer Institute in Computational Social Science (SICSS). SICSS is an international program with the worldwide endeavor to connect higher education institutions to train the next generation of social science researchers on using computational methods in social science research.

For SICSS-NYU Shanghai, 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.

Participation is restricted to graduate students, postdoctoral researchers, and early career faculty. We welcome applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science. Details of how to apply to the summer school are now online. Application materials are due 1:59 pm on May 20, 2023 (Beijing time).

For detailed information including course schedule, organizers and lecturers, application procedure, etc. about SICSS-NYU Shanghai, please refer to the relevant sections below (all information is from SICSS official website: https://sicss.io/2023/nyu-shanghai/)