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Summer Institute in Computational Social Science-HSE (SICSS-HSE)

Dates: June 14–20, 2020

Deadline for requests: March, 30 

Venue: Moscow, HSE Institute of Education

Language: English

Fee: no fee

Grant options: travel grants will be provided

The first Russian summer school on social research in the digital age.The co-founders and principal faculty of SICSS are Chris Bail (Duke University) and Matthew Salganik (Princeton University). This year the global SICSS initiative brings together 21 summer schools, including SICSS-HSE. Participants at SICSS-HSE will learn about the opportunities of using data science methods and new kinds of data in social sciences, gain experience in dealing with digital traces, and discuss ethical challenges of research in computational social science. All SICSS locations will share an online environment to facilitate the joint problem solving and collaboration. This initiative will help young researchers to build their professional social network.

Who it is suitable for

MA or PhD students in social science or data science, postdoctoral researchers, and untenured faculty within 7 years of their PhD. Participants with less experience in social science research will be expected to complete additional readings in advance of the Institute, and participants with less experience in coding will be expected to complete a set of online learning modules on the R programming language.

Topics:

  • Digital traces collection and analysis
  • Surveys in the digital age
  • Online experiments
  • Ethical issues for the studies of the new data and algorithms

Program

SICSS-HSE will feature local and visiting speakers who conduct computational social science research in a variety of settings, live streams from Duke University, and group problem sets.

Invited speakers (will be announced later)

Lecturers

Matthew Salganik (online)

professor, Princeton University

Chris Bail (online)

professor, Duke University

Elizaveta Sivak

Director of the Center for Modern Childhood Research, HSE University

Ivan Smirnov

Group leader, Computational Social Science Lab, HSE University

Sofia Dokuka

Research Fellow, Computational Social Science Lab, HSE University

 

Documents to submit

  • A curriculum vitae
  • One writing sample (no more than 35 pages). Co-authored work is acceptable for the writing sample, but if you submit co-authored work, we recommend that you include a few sentences describing the contributions of each individual author
  • A statement of interest (maximum 3 pages) describing both any current research and your interest in computational social science.

Inquiries should be sent to sicsshse2020@gmail.com

Apply