July 3 to July 14, 2022 | University of Haifa



Applications from PhD candidates and postdoctoral researchers will be given priority but applications from faculty members will also be considered. We welcome applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science. There are no restrictions based on citizenship, country of study, or country of employment. Up to 25 participants will be invited. This Summer Institute targets aspiring computational social scientists with standard graduate-level education in quantitative methods (i.e., ANOVA and linear regression). Yet learning of more advanced methods (machine learning) will begin from the get-go and in parallel to learning the basics of Python. As such, participants with stronger background in quantitative analyses may also enjoy the Summer Institute. For specifics, see PROGRAM LINK.

We welcome applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science such as females, specific disciplines, and minorities. We evaluate applicants along a few dimensions: 1) potential for conducting future research in the area of computational social science 2) likelihood to benefit from participation 3) likelihood to contribute to the educational experience of other participants 4) potential to spread computational social science to new intellectual communities and areas of research. Further, when making our evaluations, we attempt to account for an applicant’s career stage and previous educational opportunities.

How To Apply

Applicants are required to submit the following information using the electronic application form:
A. Academic information Affiliation, Highest academic degree attained, pursuing which degree, what year (e.g., year in graduate school), all previously completed quantitative courses (both frontal and online), all previously completed programming courses; Current focus of research, representative publication(s) [if applicable].
B. Personal information: Age, Gender, Marital status [number of children if applicable], Country and place of birth, Minority group membership (e.g., Druze).
C. A 1-page statement of why computational methods in social sciences attract you personally, why they are applicable to the topics you are studying or intend to study, demonstrate an idea. Do not fear being wrong (technically), showcase your aspirations.

In order to be guaranteed full consideration please complete the application form by May 1st All application materials must be submitted through SICSS-Haifa Application. Applications that are not complete by the deadline may not receive full consideration. We will notify applicants solely through e-mail by, and will ask participants to confirm their participation very soon thereafter.

Inquiries can be sent to

Application Frequently Asked Questions

Can I apply to more than one Summer Institute location?

Yes, but not at the same time. For example, you can apply to SICSS-Haifa, and then if you are not accepted you can apply to one of the other locations if it has a later deadline. However, you cannot have an applications under review at two locations simultaneously.

Can I participate in SICSS-Haifa if I have already participated in SICSS at another location?

No. Every year we have more applicants than we can accept, and we would like everyone to have a chance to participate in SICSS once before we allow folks to participate twice.

Will travel or lodging be provided at the SICSS-Haifa site?

No. Applicants who work or study in or close to Haifa area and/or the north of Israel in general will be prioritized for the SICSS-Haifa program. However, those who are qualified and willing to pay for their own travel during the program will be happily considered. All participants are expected to attend in-person for the full two weeks of the program.

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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