Fully Funded Summer Institute in Computational Social Science (SICSS) is calling for applications. SICSS brings together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. SICSS is for both social scientists and data scientists. The program will be held from the evening of Sunday, June 16 to the morning of Saturday, June 29, 2019 at Nuffield College. The aim of SICSS-Oxford is to build and expand a network of researchers interested in computational social science, bringing together individuals from across the University of Oxford and from other institutions.

The former participants of the 2017 and 2018 SICSS workshops are organizing SICSS-Oxford. SCISS will feature local speakers and live streams from Princeton. In the first week, participants at the Oxford location will also be able to work in teams to learn how to implement the material from the lectures and workshops. Participants will also need to present some of their work and research interests early on in the workshop. In the second week, participants will form teams to develop a research project related to computational social science.

Benefits

• There are no registration fees for participating in SICSS-Oxford.
• Meals and refreshments will be provided free of cost for all participants at SICSS-Oxford during the event.
• Also, cover of accommodation for those participants from outside Oxford
• Travel costs (up to a set cap) will be reimbursed for those from outside Oxford.

Eligibility

Applications are welcome from Ph.D. students, postdoctoral researchers, and faculty within 7 years of their Ph.D. It seeks to have wide participation from researchers across different departments and institutes within the University of Oxford, both from the social sciences and the computational/data sciences. Also, a limited number of participants from other institutions both in the UK and abroad can join. Participants with less experience with social science research need to complete additional readings in advance of the Institute, and participants with less experience coding need to complete a set of online learning modules on the R programming language.

Applying

Applicants must submit a curriculum vitae, a statement (maximum three pages, double-spaced) describing interest in computational social science and any relevant current research, and one writing sample (no more than 35 pages) to [email protected] in order to apply.