Danila Valko
Ph.D. in Economics  |  |  |  |  |
danila.valko@proton.me
Academic interests and expertise
- Environmental Attitudes & Behavior
- Sustainable Development & Circular Economy
- Social Data Science for Sustainability
Education
2014 Ph.D. in Economics (summa cum laude)
- Institute of Economics, Ural Branch of the Russian Academy of Sciences, Russia
- Supervisor: Mikhail Pestunov
2010 B.A.+M.A. in Finance and Economics (summa cum laude)
- South Ural Institute of Management and Economics, Russia
- Supervisor: Irina Sergeicheva
Professional experience
2023 – 2023 Institute for East European Studies, Free University of Berlin, Germany
- Visiting Researcher (4 months)
- Quantitative Research, Digital Sociology
2022 – 2023 School of Environmental and Social Studies, Tyumen State University, Russia
- Senior Researcher
- Quantitative Research, Policy Analysis
- Environmental Psychology
2021 – 2022 Center for Advanced Governance (NGO), Russia
- Data Scientist
- Research and Data Analysis
2014 – 2022 The South Ural University of Technology, Russia
- Senior Researcher, Associate Professor
- Quantitative Analysis, Econometrics (ANOVA, SEM, ATET, PSM, CS-ADRL)
- Teaching Economics, B.A./M.A. Thesis Supervision
Courses (taken recently)
- 2024 Electric Industry Operations and Markets / Duke University | Coursera
- 2024 Renewable Energy, 4 courses Specialization / University of Colorado Boulder | Coursera
- 2022 Data Science Summer School / Hertie School
- 2021 Systems Thinking for Sustainable Development / Moscow School of Social and Economic Sciences
- 2021 Quantitative Methods / University of Amsterdam | Coursera
- 2020 Data Science, 10 courses Specialization / John Hopkins University | Coursera
Publications (selected)
- Sosnovskikh, S., Valko, D., & Meyer-Alten, R. (2025). Predictors of sustainable investment motivation: An interpretable machine learning approach. Sustainable Development, https://doi.org/10.1002/sd.3387
- Vlasceanu, M., Doell, K. C., Bak-Coleman, J. B., ..., Valko, D., ..., & Van Bavel, J. J. (2024). Addressing climate change with behavioral science: A global intervention tournament in 63 countries. Science Advances, https://doi.org/10.1126/sciadv.adj5778
- Valko, D. (2023). Does going green feel good in Russia: implicit measurements with visual stimuli. Collabra: Psychology, https://doi.org/10.1525/collabra.73637
- Valko, D., & Maltseva, A. (2023). Negative emotions and climate policy support in Russia. Psychology. Journal of the Higher School of Economics, https://doi.org/10.17323/1813-8918-2023-4-643-665
- Valko, D. (2021). Environmental attitudes and contextual stimuli in emerging environmental culture: An empirical study from Russia. Sustainable Production and Consumption, https://doi.org/10.1016/j.spc.2021.05.008
- Valko, D. (2021). Impact of renewable energy and tax regulation on reducing greenhouse gas emissions in OECD countries: CS-ARDL approach. Ekonomicheskaya Politika, https://doi.org/10.18288/1994-5124-2021-5-40-61
- Valko, D. (2021). Crowdfunding as a tool for investing in sustainable development projects and its place in the green finance ecosystem. St Petersburg University Journal of Economic Studies, https://doi.org/10.21638/spbu05.2021.105
Prepared datasets and data papers (recent)
- Valko, D., Vasilevskaia, M., Bunina, M., Kozlova, M., Filippova, A. M., & Rud, D. (2024). Educational and Career Trajectories in Russia: Introducing a New Source and Datasets with a High Granularity. Research Data Journal for the Humanities and Social Sciences, https://doi.org/10.1163/24523666-bja10046
- Doell, K. C., Todorova, B., Vlasceanu, M., ..., Valko, D., ..., & Van Bavel, J. J. (2024). The International Climate Psychology Collaboration: Climate change-related data collected from 63 countries. Scientific Data, https://doi.org/10.1038/s41597-024-03865-1
Other professional skills
- Language Skills: Russian (native), English (advanced), German (limited)
- Data Analysis: Quantitative Methods, Econometrics, Data Mining
- Analysis Software: Python, R/R-Studio, SPSS, Stata
- Software Development: Python, C#, Java, HTML/CSS/JS