The Complexity Science Hub Vienna(CSH) is a Vienna-based research organisation with the aim to bundle, coordinate and advance the research of complex systems, system analysis and big data science in Austria.
Organization
The CSH was founded in 2015 as a joint initiative to foster big data science for the benefit of society and to increase the international visibility of Austrian complexity research.[1] The official start was in 2016.[2] Since May 2016 the CSH has been located in Palais Strozzi in Vienna.
Complexity scientist Stefan Thurner has been the first president and scientific director of the CSH since its foundation. The international science advisory board is chaired by the Austrian sociologist Helga Nowotny.
Research
The main topics of research at the CSH include:[7]
health and medicine (efficiency and resilience of health care systems, based on health care data; personalized medicine; disease prediction and prevention)[10][11]
Systemic risk (Why do complex systems such as banking networks collapse? What is the likelihood of collapse? Can collapse be predicted? How to build a complex system to be stable? )[12][13]
Cities ("Science of Cities") (How can data be used for the benefit of cities, the population, the administration ("Smart city")? How do cities become more sustainable? How to increase citizen participation? Is there a direct link between city size and city life?)
the "Internet of things" (Does a more efficient production automatically lead to more vulnerability? How secure is a fully digitized production when it comes to attacks? How can sensor data be used to answer systemic questions?)
computational social science (Opinion formation in social networks and heterogeneous societies.[14] How do conflicts arise? How can conflicts be solved? What is the difference between networks of men and women?)[15]
big data analytics (Do we lose our privacy? Is social media a threat to democracy?[16] How can fake news be identified?[17] What does social media say about gender?[18][19] Agent-based and big data models of society [20][21])
^Poledna S, Thurner S (2016). "Elimination of systemic risk in financial networks by means of a systemic risk transaction tax". Quantitative Finance. 16 (10): 1599–1613. arXiv:1401.8026. doi:10.1080/14697688.2016.1156146.