President of the CSH Vienna & CSH Faculty
Stefan is full professor for Science of Complex Systems at the Medical University of Vienna, where he chairs Section for Science of Complex Systems. He is external professor at the Santa Fe Institute, senior researcher at IIASA, and president of the Complexity Science Hub Vienna.
Stefan obtained a PhD in theoretical physics from the Technical University of Vienna and a PhD in economics from the University of Vienna. He held postdoc positions at Humboldt University of Berlin and Boston University before joining the faculty of the University of Vienna and later Medical University. His habilitation is in theoretical physics. Stefan started his career with contributions to theoretical particle physics and gradually shifted his research focus to the understanding of complex systems.
Stefan has published more than 200 scientific articles in fundamental physics (topological excitations in quantum field theories, statistics and entropy of complex systems), applied mathematics (wavelet statistics, fractal harmonic analysis, anomalous diffusion), network theory, evolutionary systems, life sciences (network medicine, gene regulatory networks, bioinformatics, heart beat dynamics, cell motility), economics and finance (price formation, regulation, systemic risk) and lately in social sciences (opinion formation, buerocratic inefficiency, collective human behavior, efficiency of healthcare systems). He holds two patents.
His work has been covered extensively by Austrian as well as international media such as the New York Times, BBC world, Nature, New Scientist, Physics World, and is featured in more than 400 newspaper, radio and television reports. For his ongoing efforts and his skills to communicate complexity science to an interested public Stefan was elected Austrian “scientist of the year” in 2018.
M. Szell, R. Lambiotte, S. Thurner
Multirelational organization of large-scale social networks in an online world
PNAS 107 (2010) 13636–13641
R. Hanel, S. Thurner, M. Gell-Mann
How multiplicity of random processes determines entropy and the derivation of the maximum entropy principle for complex systems
PNAS 111 (2014) 6905–6910
B. Corominas-Murtra, R. Hanel, S. Thurner
Understanding scaling through history-dependent processes with collapsing sample space
PNAS 112 (2015) 5348–5353
P. Klimek, R. Jimenez, M. Hidalgo, A. Hinteregger, S. Thurner
Forensic analysis of Turkish elections in 2017–2018
PLoS ONE 13(10) (2018) e0204975
R. Hanel, S. Thurner
Maximum configuration principles for driven systems with arbitrary driving
S. Poledna, S. Martínez-Jaramillo, F. Caccioli, S. Thurner
Quantification of systemic risk from overlapping portfolios in the financial system
A. Pichler, S. Poledna, S. Thurner
Systemic-risk-efficient asset allocation: Minimization of systemic risk as a network optimization problem
S. Poledna, A. Hinteregger, S. Thurner
Identifying systemically important companies in the entire liability network of a small open economy
S. Poledna, M. Miess, S. Thurner et al.
When does a disaster become a systemic event? Estimating indirect economic losses from natural disasters
M. Sadilek, P. Klimek, S. Thurner
Asocial balance—how your friends determine your enemies: understanding the co-evolution of friendship and enmity interactions in a virtual world
Journal of Computational Social Science 1 (2018) 227–239
B. Corominas-Murtra, R. Hanel, L. Zavojanni, S. Thurner
How noise determines the statistics of simple path dependent systems
B. Corominas-Murtra, R. Hanel, S Thurner
Sample space reducing cascading processes produce the full spectrum of scaling exponents
Scientific Reports 7 (2017) 11223
R. Hanel, B. Corominas-Murtra, B. Liu, S. Thurner
Fitting power-laws in empirical data with estimators that work for all exponents
PLoS ONE 12(2) (2017) 0170920
“Quantification of systemic risk from overlapping portfolios in the financial system”
Sep 27, 2017 | 15:00—17:15