IOE to Host International Summer School on Computational Social Science for the First Time
In 2020, IOE was shortlisted among 21 venues worldwide to host this year’s guest Summer Schools held as part of the international Summer Institute in Computational Social Science (SICSS), an annual collaboration between Duke University and Princeton University.
The IOE-SICSS Summer School 2020 is slated to take place on the IOE grounds in Moscow from June 14 to 20. Submissions are open through March 30, 2020.
SICSS aims to bring together graduate students, postdoctoral researchers, and junior faculty who are into various perspectives of computational social science.
The focus will be on the methodology of computational social science and new sources of data, digital traces, ethical issues and opportunities of mass collaboration, etc.
The co-founders and principal faculty of SICSS are Chris Bail (Duke University) and Matthew Salganik (Princeton University). All SICSS locations will share an online environment to facilitate the joint work on cases and problem sets. This initiative will help young researchers build up their skills and professional network.
Topics covered include text as data, website scraping, online field experiments, non-probability sampling, digital phenotyping, etc.
The IOE-SICSS will feature local and visiting speakers who conduct computational social science research in a variety of settings.