Medical University of Vienna & CSH Faculty
Peter Klimek is assistant professor at the Section for Science of Complex Systems at the Medical University of Vienna and Faculty member of the Complexity Science Hub Vienna.
His research focus is to explore and exploit the possiblities that Big Data and complexity science offer for the future of medicine. His work uses methods from network analysis, statistical mechanics, complex data analysis, and various simulation and modelling approaches to understand how we can improve, both, patient health and the health care system itself. His results include novel methods to quantify and predict the future health state of multi-morbid patients, statistical models for the influence of epigenetic factors on disease risks, as well as network characterizations of health care processes.
His research interests also include complexity economics and socio-economic modelling. He developed a statistical test for electoral fraud, novel methods to measure systemic risk, as well as modelling techniques for emerging risks and for socio-economic impact analyses of new technologies.
Peter obtained his PhD in theoretical physics in 2010 and his master in 2007 in quantum information. His work attracted broad media interest and was featured on various BBC programs (Radio 5, Scotland, World Service), Austrian Radios OE1 and FM4, magazines like Nature News, Science News, Scientifc American, New Scientist and other newspapers including Sunday Times, NY Times, Daily Telegraph, Berliner Morgenpost and Moscow Times.
M. Leutner, C. Matzhold, L. Bellach, C. Deischinger, J. Harreiter, S. Thurner, P. Klimek, A. Kautzky-Willer
Diagnosis of osteoporosis in statin-treated patients is dose-dependent
Ann Rheum Dis, Epub ahead of print (30 Sept 2019)
N. Haug, S. Thurner, A. Kautzky-Willer, M. Gyimesi, P. Klimek
Identification of gatekeeper diseases on the way to cardiovascular mortality
G. Duftschmid, P. Klimek, et al.
Patient-Sharing Relations in the Treatment of Diabetes and Their Implications for Health Information Exchange: Claims-Based Analysis
JMIR Med Inform Vol 7, No 2 (2019) e12172
P. Klimek, S. Poledna, S. Thurner
Quantifying economic resilience from input–output susceptibility to improve predictions of economic growth and recovery
Nature Communications 10, 1677 (2019) 1–9
P. Klimek, J. Varga, A.S. Jovanovic, Z. Szekely
Quantitative resilience assessment in emergency response reveals how organizations trade efficiency for redundancy
Safety Science 113 (2019) 404–414
P. Klimek, S. Poledna, S. Thurner
Economic resilience from input-output susceptibility improves predictions of economic growth and recovery
P. Klimek, R. Kreuzbauer, S. Thurner
Fashion and art cycles are driven by counter-dominance signals of elite competition: Quantitative evidence from music styles
J. R. Soc. Interface Vol 16, Issue 151 (2019) 20180731
R. Emprechtinger, S. Fischer, L.A. Holzer, P. Klimek, et al.
Methods to detect inappropriate use of MRI and CT for musculoskeletal conditions: A scoping review
Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 137–138 20-26 (2018)
P. Klimek, R. Jimenez, M. Hidalgo, A. Hinteregger, S. Thurner
Forensic analysis of Turkish elections in 2017–2018
PLoS ONE 13(10) (2018) e0204975
S. Thurner, R. Hanel, P. Klimek
Introduction to the Theory of Complex Systems
Oxford University Press (2018)
T. Niederkrotenthaler, E. Mittendorfer-Rutz, S. Thurner, P. Klimek
Quantification of healthcare utilization and psychopharmacological treatment in relation to the timing of suicide attempts in patients with common mental disorders: An analysis of big claims data of Austria
S. Poledna, M. Miess, S. Thurner et al.
When does a disaster become a systemic event? Estimating indirect economic losses from natural disasters
P. Klimek, S. Aichberger, S. Thurner
Incentivizing resilience in financial networks
Scientific Reports 6 (2016) 39658
A. Kautzky-Willer, S. Thurner, P. Klimek
Use of statins offsets insulin-related cancer risk
Journal of Internal Medicine 281 (2017) 206–216
Adaptive Intelligence: Physicians – Friends or Foes?
Aug 20, 2019 | 14:00—15:30
“Big Data — Big Theory: Wissensgewinn für die Praxis?”
Apr 11, 2019 | 9:00—16:30
“Resilience indicators for assessing interconnectedness between critical infrastructures”
Feb 18, 2019—Feb 20, 2019
“Understanding and predicting disease by means of multiplex comorbidity networks”
Nov 06, 2018 | 18:30—19:00
“Counter-dominance signaling drives evolution of cultural elites: quantitative evidence from fashion cycles in music”
Jun 15, 2018 | 11:45—12:00
“A Network Medicine Approach to Understand and Predict Complex Disease Phenotypes”
Apr 19, 2018 | 16:00—17:00