Summer Institute in Computational Social Science
Cape Town, South Africa, 17-28 June 2019
Deadline for applications: March 25, 2019
The second edition of the Summer Institute in Computational Social Science (SICSS), sponsored by the Russell Sage Foundation and the Alfred P. Sloan Foundation, and the University of Cape Town will be held at the University of Cape Town from 17-28 June 2019
(https://compsocialscience.github.io/summer-institute/2019/capetown/).
The purpose of the Summer Institute in Cape Town is to bring together graduate students (strongly quantitative), postdoctoral researchers, and faculty interested in computational social science. The Summer Institute is for both social scientists (broadly conceived) and data scientists (broadly conceived). The program will involve lectures, group problem sets, and participant-led research projects. There will also be outside speakers who conduct CSS research is 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.
About twenty five to thirty participants from sub-Saharan Africa and the diaspora will be accepted and fully supported. Participants with less experience with social science research will be expected to complete additional readings in advance of the Institute, and participants with less experience coding will be expected to complete a set of online learning modules on the R programming language.
Potential speakers are encouraged to contact Vissého Adjiwanou (cssforafrica@gmail.com) about the opportunity to give a talk or train the participants on a specific topics related to computational social science.
More information about the SICSS, including materials from previous years, can be found at: https://compsocialscience.github.io/summer-institute/2018/capetown/