Univ.-Prof. Mag. DDr. Stefan THURNER
Center for Medical Statistics, Informatics, and Intelligent Systems
(Section for Science of Complex Systems)
Molecular regulatory networks: in-silico cell, Personalized medicine and machine learning, New mathematics and statistics for Complex Systems, Collective socio-economic phenomena, Evolutionary processes
Science of Complex Systems
Complex Living Matter
We simulate cells in silico to understand their dynamical stability, modes of operation and transitions to pathologic states.
We reverse-engineer genetic regulatory NWs from omics data.
We use novel statistical tools toward unbiased approaches to functional brain imaging.
Complex Social Systems
We measure and model the dynamics of social human interactions and aggregate phenomena.
We understand economy as macroscopic dynamical systems which emerge from microscopically interacting agents.
Efficiency and Bureaucracy
We employ tools from network analysis and agent based models to analyze flows of information within institutions, firms or bureaucratic bodies.
Physics of Complex Systems
We fight for an understanding of strongly correlated statistical systems.
We analyze, understand and manage NW formation dynamics and the co-evolution of NW structure and its function.
We try to understand the preconditions under which collapse of complex systems becomes possible and likely.
Physics of Evolution
We search for physical principles and mathematical descriptions of evolution-systems. These range from biological evolution to Schumpeterian economics.
R. Hanel, M. Pöchacker, M. Schölling and S. Thurner, A self-organized model for cell-dierentiation based on variation of molecular decay rates, PLoS ONE 7 (2012) e36679
R. Hanel, M. Pöchacker and S. Thurner, Living on the edge of chaos: minimally nonlinear models of genetic regulatory dynamics, Philosophical Transactions of the Royal Academy of Science A 368 (2010) 5583-5596.
M. Szell, R. Sinatra, G. Petri, S. Thurner and V. Latora, Understanding mobility in a social petri dish, Scientic Reports 2 (2012) 457.
P. Klimek, Y. Yegorov, R. Hanel, S. Thurner, Statistical detection of systematic election irregularities, Proceedings of the National Academy of Science USA (2012) in print.
P. Klimek, R. Hausmann and S. Thurner, Empirical conrmation of creative destruction from world trade data, PLoS ONE 7 (2012) e38924
P. Klimek, W. Bayer and S. Thurner, The blogosphere as an excitable social medium: Richter and Omori laws in media coverage, Physica A 390 (2011) 3870-3875.
R. Hanel, S. Thurner and M. Gell-Mann, Generalized entropies and the transformation group of superstatistics, Proceedings of the National Academy of Science USA 108 (2011) 6390-6394.
P. Klimek, R. Hanel and S. Thurner, Pruning the tree of life: k-core percolation as a selection mechanism, Journal of Theoretical Biology 256 (2009) 142-146.
H. Meyer-Ortmanns and S. Thurner (eds), Principles of Evolution: From the Planck Epoch to Complex Multicellular Life, Springer, The Frontiers Collection, ISBN: 978-3-642-18136-8 (2011) XVI, 416 pages.
S. Thurner and R. Hanel, Peer-review in a world with rational scientists: Toward selection of the average, European Physical Journal B 84 (2011) 707-711.