We are delighted to announce that the 2021 Oxford partner site of the Summer Institutes in Computational Social Science (SICSS) is now accepting applications. The purpose of SICSS is to bring together graduate students, postdoctoral researchers, and early career researchers interested in computational social science for two weeks of intensive study and collaborative research that challenges disciplinary boundaries. The Summer Institutes are for both social scientists with an interest in computational research (broadly conceived) and data scientists (broadly conceived) with an interest in the social sciences.
SICSS-Oxford will be held online from June 14-25, 2021 and will be organised by Chris Barrie (University of Edinburgh), Charles Rahal, Francesco Rampazzo and Tobias Rüttenauer. It is generously supported by Nuffield College (in conjunction with the Department of Sociology and the Leverhulme Centre for Demographic Science).
The Summer Institutes will involve live and pre-recorded videos, group problem sets, and participant-led research projects. There will also be research talks from 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, non-probability sampling, mass collaboration, reproducible data carpentry and ethics. There will be ample opportunities for participants to discuss their ideas and research with the organisers and other participants and undertake group work. As we are committed to open and reproducible research, all materials created by faculty and students for SICSS are available via an open-source resource so that people who are unable to attend one of the institutes are able to learn online. Application are due by 11:59pm GMT on March 15th, 2021.
More information about SICSS-Oxford and the application procedure can be found on the SICSS-Oxford website: https://sicss.io/2021/oxford/. We look forward to seeing you there!