Exploratory Modeling of Human-natural Systems Research Group
Advancing Systems Analysis
BiographyPiotr 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
Żebrowski, P. & Jonas, M. (2022). Translating global warming targets of the Paris Agreement into globally consistent objectives for national GHG emission reductions. A GHG emissions budget approach. IIASA Working Paper. Laxenburg, Austria: WP-22-002
Jonas, M. , Bun, R., Ryzha, I., & Żebrowski, P. (2022). Quantifying memory and persistence in the atmosphere–land and ocean carbon system. Earth System Dynamics 13 439-455. 10.5194/esd-13-439-2022.
Żebrowski, P. , Couce‐Vieira, A., & Mancuso, A. (2022). A Bayesian Framework for the Analysis and Optimal Mitigation of Cyber Threats to Cyber‐Physical Systems. Risk Analysis 1-16. 10.1111/risa.13900.
Magdziarz, M. & Żebrowski, P. (2022). Functional convergence of continuous-time random walks with continuous paths. Communications in Contemporary Mathematics 10.1142/S0219199721501066.