• 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

Balinese rice terraces: how to manage scarce resources globally

CSH’s J. Stephen Lansing and Stefan Thurner took a closer look at the cooperative management of rice terraces in Bali and developed a model that shows that adaptation in a coupled human-natural system can trigger self-organized criticality (SOC). Together with their co-authors they published their findings in the PNAS article Adaptive self-organization of Bali’s ancient rice terraces. Adaptive SOC is a self-organizing process where local adaptations drive the system toward local and global optima. Steve Lansing, CSH External Faculty, will be visiting the Hub during the last two weeks in June and will give a talk on June 27 at 4pm at the Hub.

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