cv
Structured version of my CV. You can download the full PDF version by clicking on the button above (↑).
Basics
| Name | Vadim Ustyuzhanin |
| vadim.v.ustyuzhanin@gmail.com | |
| Url | https://vadvu.github.io |
| Orcid | https://orcid.org/0000-0003-3800-1108 |
| Github | https://github.com/vadvu |
| Researchgate | https://www.researchgate.net/profile/Vadim-Ustyuzhanin |
Interests
| Quantitative methods in the social sciences | |
| Regression analysis and panel data | |
| Quasi-experimental designs | |
| Causal inference | |
| Simulations |
| Revolutions and social movements | |
| Revolutions | |
| Mass mobilization | |
| Societal instability | |
| Comparative politics |
| Cross-cultural research | |
| Values | |
| Family organization | |
| Modernization | |
| Risk behavior |
| Demography | |
| Fertility | |
| Mortality | |
| Population projections | |
| Multistate models |
Education
Additional education
| Summer School "Methods of Causal Inference" | ||
| Ronald F. Inglehart Laboratory for Comparative Social Research, Moscow | 2024 |
| Fall School "Population and Development" | ||
| Vishnevsky Institute of Demography, Moscow | 2023 |
| Spring School "Evolution of Social Complexity" | ||
| Institute for Advanced Studies, Vienna | 2022 |
Research experience
- 2022.06 - 2025.04
Junior research fellow
International Lab for Human Capital and Demography, RANEPA
- Russian demography
- Comparative sociology
- Quantitative methods
- 2021.04 - present
Research intern -> Junior research fellow
Center for Stability and Risks Analysis, HSE University
- Revolutions
- Mass mobilization
- Comparative politics
- Quantitative methods
Skills
| Statistics | |
| Regression analysis: OLS, GLM, GAM | |
| Fixed-effects and mixed-effects models | |
| Time-series: VAR, ARIMA and add-ons | |
| Survival analysis | |
| Simulations |
| Causal inference | |
| DAGs and potential outcomes | |
| Matching and weighting, including panel data | |
| Instrumental variables | |
| Difference-in-differences designs | |
| Regression discontinuity designs |
| Demography | |
| Mortality: life tables, YLL, Lee-Carter | |
| Fertility: TFR and approximations | |
| Cohort-component projections | |
| Multistate and probabilistic projections | |
| Own R package for formal demographic analysis |
| Computational | |
| R | |
| Python | |
| SPSS | |
| Excel for data analysis and handling | |
| SQL at the query level | |
| LaTeX | |
| Parallel computing | |
| Shiny apps |
Awards
- 2025
- 2023
- 2023
- 2022
- 2020, 2021
Competition of students "Higher League"
HSE University
Diploma of II degree on the Public Policy track
- 2022.2023
High Professional Potential Program "New Researchers"
HSE University
Participant; program alumnus from 2024
- 2023.2024
Academic Achievement Scholarship for Students
HSE University
- 2024.2026
Academic Achievement Scholarship for Researchers
HSE University
- 2023, 2024
Acknowledgement from the Faculty of Social Sciences
HSE University
Grants
- 2024 - 2027
Socio-political Development of Sub-Saharan Africa in the Context of Russia's Foreign Policy
Russian Science Foundation project No. 24-18-00650
Participant
- 2024 - 2025
Study of economic consequences of revolutions by quasi-experimental methods
HSE working group
Head of the working group
- 2023 - 2024
The Price of Stability: How Defense Spending Relates to the Stability of States?
HSE working project
Participant
- 2023 - 2026
New power configuration and intensification of instability in the world-system
Russian Science Foundation project No. 23-18-00535
Participant
- 2022 - 2025
Development of multistatus demographic models for Russia
RANEPA and HSE University
Participant
- 2022 - 2022
Forecasting and analysis of socio-political instability on the basis of news context
HSE University
Head of the project under the Strategic Project "National Center for Scientific-Technological and Socio-Economic Forecasting"
- 2021 - 2022
Quantitative analysis and forecasting of risks of socio-political destabilization in the countries of the Afrasian macrozone of instability
Russian Science Foundation project No. 18-18-00253
Participant
Languages
| Russian | |
| Native speaker |
| English | |
| C1 (IELTS: 8.0) |