Sebastian Poledna
Research Group Leader and Senior Research Scholar
Exploratory Modeling of Human-natural Systems Research Group
Advancing Systems Analysis
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Biography
Sebastian Poledna is the leader of the Exploratory Modeling of Human-natural Systems (EM) Research Group of the IIASA Advancing Systems Analysis Program.His scientific interests include new approaches to macroeconomics, the impact of climate change on socioeconomic systems, the systemic risk of various complex systems, and financial regulation.
He holds double degrees in physics (2005-2011) and in economics and business administration (1999-2003), and has worked as a practitioner in risk management at one of the largest European banks for almost a decade (2007-2015). He obtained his PhD in physics at the University of Vienna in 2016.
Poledna first joined IIASA as a research scholar in the former IIASA Advanced Systems Analysis and Risk and Resilience programs in 2015. In January 2021, he was appointed research group leader of the EM Research Group. The EM Research Group currently has 35+ scientists whose aim is to produce methodological advances that will underpin future IIASA research.
Last update: 11 JUL 2023
Publications
Wildemeersch, M. , Strelkovskii, N. , Poledna, S., & Leduc, M. (2016). Network reslience and systemic risk. Methodological approaches to address network resilience. In: European Meetings on Cybernetics and Systems Research, 30 March-1 April 2016, Vienna.
Leduc, M.V., Poledna, S., & Thurner, S. (2016). Systemic Risk Management in Financial Networks with Credit Default Swaps. SSRN Electronic Journal 1-20. 10.2139/ssrn.2713200.
Leduc, M.V., Poledna, S., & Thurner, S. (2016). Systemic Risk Management in Financial Networks with Credit Default Swaps. In: NetSci-X 2016, 11 -13 January, 2016, Wroclaw, Poland.
Poledna, S. & Thurner, S. (2016). Elimination of systemic risk in financial networks by means of a systemic risk transaction tax. Quantitative Finance 1-15. 10.1080/14697688.2016.1156146.
Hochrainer-Stigler, S. & Poledna, S. (2016). Modelling Dependent Risk With Copulas: An Application On Flooding Using Agent-Based Modelling. Geoinformatics Research Papers 4 (BS4002) 10.2205/2016BS01Sochi.