• 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

Nov 10/11: CSH Workshop Series - Approaches to the Evolution of Complex Systems

Evolutionary processes pose fundamental challenges to a quantitative predictive understanding. One of the main reasons for this lack of predictability is the fact that the configuration space of evolving complex systems cannot be pre-stated. Dimensionality and boundary conditions change with every innovation. These systems incessantly explore what Kauffman has termed the adjacent possible.

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Oct 10/11: CSH Workshop Series - Future Directions in Medical Data Science - Oct 10/11

Most chronic disorders are caused by multiple genetic processes that act in concert with environmental factors. Recent advances in handling and analyzing large data sets on such disease-causing mechanisms, their interactions, and their associated phenotypes enable a novel, quantitative, and data-driven approach to understand human disease. This workshop brings together leading experts from the forefront of these developments to discuss future research directions.

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