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Practical matters How to find us E. (Elizaveta) Sivak, MA

E. (Elizaveta) Sivak, MA


Research experience:

PhD Candidate, University of Groningen, since September 2022

Head of the Center for Modern Childhood Research, at the Institute of Education, Higher School of Economics, Moscow, June 2018 – March 2022

Research fellow, Center for Modern Childhood Research at the Institute of Education, Higher School of Economics, Moscow, January 2014 – May 2018

Research fellow, Laboratory for institutional analysis of economic reforms, Higher School of Economics, Moscow, August 2009 – December 2014

Research assistant, Laboratory for institutional analysis of economic reforms, Higher School of Economics, Moscow, April 2006 – July 2009

Education & training:

MA in Sociology (with distinction), National Research University Higher School of Economics, 2009 

MA in Sociology (with distinction), Moscow School for Social and Economic Sciences & University of Manchester, 2008

BA in Sociology (with distinction), National Research University Higher School of Economics, 2007

Training:

Summer Institute in Computational Social Science (SICSS), Princeton University, 2019

2016 - 2018 Online training program in data science, Institute of Bioinformatics (Saint-Petersburg) and Saint Petersburg Academic University of the Russian Academy of Sciences

Teaching experience

At Summer Institute in Computational Social Science, HSE University (SICSS-HSE): 

Organizing and managing the school, developing the school’s program, teaching a workshop on prediction life outcomes, developing and teaching a workshop on Reddit as a source of digital traces data for social science research, June 2021

At the Higher School of Economics:

Computational social science, 2018-2022 (offered to graduate students at the HSE University): co-developing the course, including theory lectures and exercises in Python. 

Field Work: Theory and Practice (offered to graduate students at the HSE University), 2018-2019

Research Methods in Social Sciences (offered to graduate students at the HSE University), 2014-2018

At the Moscow School for Social and Economic Sciences:

Research methods in Social sciences, 2015-2017

Selected publications:

Dokuka S., Sivak E., Smirnov I. (2022). Core but not peripheral online social ties is a protective factor against depression: evidence from a nationally representative sample of young adults. In International Conference on Network Science. Springer, Cham. P. 41-53.

Sivak E., Smirnov I. (2020). Measuring Adolescents’ Well-Being: Correspondence of Naïve Digital Traces to Survey Data. In Social Informatics. Proceedings of the 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020. Springer. Ch. 26. P. 352-363.

Sivak E., Smirnov I. (2019). Parents mention sons more often than daughters on social media. Proceedings of the National Academy of Sciences of the United States of America, Vol. 116, No. 6, P. 2039-2041. 

Sivak E. (2018). Managing grandparental involvement in child-rearing in the context of intensive parenting. Sociological Research Online, Vol. 23, No. 4, P. 830-846. 

Sivak E., Yudkevich M. (2017) The academic profession in Russia's two capitals: The impact of 20 years of transition. European Educational Research Journal, Vol 16, Issue 5.

Smirnov I., Sivak E., Kozmina Y. (2016) In Search of Lost Profiles: The Reliability of VKontakte Data and Its Importance for Educational Research. Educational Studies Moscow, No.4, P. 106-122.

Sivak E., Yudkevich M. (2015) Academic Immobility and Inbreeding in Russian Universities. In Academic Inbreeding and Mobility in Higher Education. Ed. by Maria Yudkevich, Philip G. Altbach, Laura E. Rumbley. Palgrave Macmilllan.

Research skills:

Quantitative research: research design, questionnaire development and testing, data analysis

Qualitative research: conducting interviews, focus-groups, participant observation, analysis of qualitative data

Computational social science. Statistical analysis of digital traces of human behavior

Project proposal design and writing

Technical skills:

Python for information retrieval, data cleaning & wrangling, statistical data analysis and visualization

R for information retrieval, data cleaning & wrangling, statistical data analysis and visualization

Selected talks:

Children's occupational preferences: evidence from a theme park behavioral logs. 7th International Conference on Computational Social Science (IC2S2), 2021 

Measuring Adolescents’ Well-Being: Correspondence of Naïve Digital Traces to Survey Data. 12th International Conference on Social Informatics (SocInfo 2020) (Pisa).

Gender Bias in Sharenting: Both Men and Women Mention Sons More Often Than Daughters on Social Media. European Symposium Series on Societal Challenges in Computational Social Science. 2018: Bias and Discrimination. Cologne, Germany, 2018.

Gender bias and gender inequality. Science-slam at the second Eurocss symposium, Cologne, Germany, December 5th, 2018 (winner)

Managing Intensive Parenting: Mothers’ Perception of Grandparents’ Interference in Child-Rearing. Parenting and Personhood: Cross-cultural perspectives on expertise, family life and risk managementŠ± Canterbury, UK, 2016.

Last modified:04 October 2022 5.16 p.m.