Summer Institute in Computational Social Science-HSE (SICSS-HSE)
Dates: June 14–20, 2020
Deadline for requests: Due to the measures introduced in Russia on account of coronavirus, we regret to cancel the summer school this year
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
Due to the measures introduced in Russia on account of coronavirus, we regret to cancel the summer school this year. Please, stay in touch for the further information on the summer school 2021.
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