Nikita Strelkovskii
Research Scholar
Exploratory Modeling of Human-natural Systems Research Group
Advancing Systems Analysis Program
Research Scholar
Cooperation and Transformative Governance Research Group
Advancing Systems Analysis Program
Biography
Dr. Nikita Strelkovskii is a research scholar in the Cooperation and Transformative Governance (CAT) and Exploratory Modeling of Human-Natural Systems (EM) research groups of the Advancing Systems Analysis (ASA) Program.Dr. Strelkovskii graduated from the Department of Optimal Control, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Russia, in 2012. In 2016 he received his PhD from the Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Russia. He joined the ASA program as a research assistant in 2013, and has been a research scholar since 2017.
His research interests include control theory, agent-based modeling and simulations, scenario planning, and systems thinking. He applies his methodological expertise to a broad range of applications like industrial development, economic effects of migration, water resources management, and national well-being.
Last update: 11 FEB 2021
Publications
UNDESA-UNFCCC (2025). Harnessing Climate and SDG Synergy: Quantifying the benefits. Third Global Report on Climate and SDGs Synergies. United Nations, Joint UNDESA-UNFCCC Secretariat Climate and SDG Synergy Secretariat
Strelkovskii, N. , Poledna, S., Conte, A., Goujon, A. , Linnerooth-Bayer, J., Michele, C., & Rovenskaya, E. (2025). Short- and mid-term macroeconomic and labour market impacts of migration in Austria: an agent-based modelling perspective. In: Annual Conference of the Austrian Economic Association (NOeG) 2025, 23-24 September, 2025, Krems, Austria.
Rovenskaya, E. , Strelkovskii, N. , Erokhin, D. , & Ilmola-Sheppard, L. (2024). Future scenarios of commercial freight shipping in the Euro-Asian Arctic. Futures 163 e103446. 10.1016/j.futures.2024.103446.
Strelkovskii, N. , Rovenskaya, E. , & Borghi, J. (2024). Enhancing causal loop diagram analysis through network measures: a
comprehensive framework and an illustrative case study on maternal
and child health systems in Tanzania and Zambia. In: OR66 Annual Conference, 10-12 September 2024.
Daniell, J., Blanz, B., Girard, T., Khazai, B., Schaefer, A., Brand, J., Maier, A., Claassen, J., Strelkovskii, N. , Sillmann, J., García, M., Padrón, N., & Ma, L. (2024). Final report on methods for generating hazard event sets and quantifying risk. Zenodo 10.5281/zenodo.16365993.