• Complexity Science Hub Vienna
    understanding complexity

  • Complexity Science Hub Vienna
    understanding complexity

  • Complexity Science Hub Vienna
    understanding complexity

  • Complexity Science Hub Vienna
    understanding complexity

The Complexity Science Hub Vienna

Societies become more and more dependent on their ability of handling, interpreting, and making sense of complex systems. Understanding complex systems on a quantitative and predictive basis rests on the ability to combine complex systems science (mathematical concepts and methodology) with big and comprehensive datasets. The number of experts in this new scientific field is limited which poses a bottleneck to understand and eventually manage complex systems. The objective of the hub is to host, educate, and inspire complex systems scientists who are dedicated to collect, handle, aggregate, and make sense of big data in ways that are directly valuable for science and society. Focus areas include smart cities, innovation dynamics, medical, social, ecological, and economic systems. CSH is a joint initiative of AIT, IIASA, Medical University of Vienna, TU Graz, TU Wien, and Vienna University of Economics and Business.

Recent News

Election forensic analysis of the Turkish Constitutional Referendum 2017

Peter Klimek, Raul Jimenez, Manuel Hidalgo, Abraham Hinteregger, and Stefan Thurner took a closer look at the data regarding the electorial behavior during the constitutional referendum of April 16, 2017, in Turkey and found that there was large enough influence of vote distortions to tip the overall balance from 'No' to a majority of 'Yes' votes.

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