Piotr Zebrowski
Research Scholar
Systemic Risk and Resilience Research Group
Advancing Systems Analysis Program
Research Scholar
Exploratory Modeling of Human-natural Systems Research Group
Advancing Systems Analysis Program
Biography
Piotr Zebrowski is a research scholar in the Exploratory Modeling of Human-natural Systems Research Group of the IIASA Advancing Systems Analysis (ASA) Program. His current research focuses on modeling persistence in human-natural systems and on questions of fair distribution of burdens of global warming mitigation action.Zebrowski is involved in projects assessing response delays to policies aiming at greenhouse gas (GHG) emission reductions in the transport sector and investigating the effectiveness of measures to limit the spread of the COVID-19 virus. He also contributed to projects that identified viable scenarios for deep GHG emission reductions in agriculture and in the economy. Zebrowski’s research interests include novel methods of data analysis, particularly the analysis of dynamics of global and national GHG emissions and uncertainty of their estimates, as well as multi-objective optimization and Bayesian network models for cybersecurity.
Prior to joining IIASA, Zebrowski was a research assistant at the Department of Probability Theory and Mathematics of Finance of the Institute of Mathematics at the Polish Academy of Sciences, where he conducted research in the fields of probability theory, stochastic processes, and their applications in finance and statistical physics. He holds a PhD degree in mathematics obtained from the Institute of Mathematics in the Faculty of Mathematics and Computer Science at the University of Wroclaw, Poland.
Last update: 23 JUL 2021
Publications
Lin, H., Żebrowski, P. , Fath, B. , Liljenström, H., & Rovenskaya, E. (2021). Modelling stakeholder satisfaction for conflict resolution in wildlife management: a case of wolf population in Sweden. European Journal of Wildlife Research 67 (4) e61. 10.1007/s10344-021-01495-1.
Cristino, C.T., Żebrowski, P. , & Wildemeersch, M. (2020). Assessing the time intervals between economic recessions. PLoS ONE 15 (5) e0232615. 10.1371/journal.pone.0232615.
Rovenskaya, E. , Aghababaei Samani, K., Baklanov, A. , Ermolieva, T., Folberth, C. , Fritz, S. , Hadi, H., Javalera Rincón, V. , Krasovskii, A. , Laurien, F. , Poblete Cazenave, M., Schinko, T. , Smilovic, M. , & Zebrowski, P. (2019). Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century. IIASA Working Paper. Laxenburg, Austria: WP-19-010
Jarnicka, J. & Żebrowski, P. (2019). Learning in greenhouse gas emission inventories in terms of uncertainty improvement over time. Mitigation and Adaptation Strategies for Global Change 24 (6) 1143-1168. 10.1007/s11027-019-09866-5.