CSH President Stefan Thurner will give a talk at the Institute of Applied Information Processing and Communications, Graz University of Technology on October 11.
Abstract:
Complexity science links state-of-the-art mathematics, modelling, data and computer science with fundamental questions posed from various disciplines, such as medicine, economics, ecology or social sciences, and opens new paths to a deeper understanding of systemic risks, resilience, efficiency, and the requirements for sustainable innovation.
In particular, Complexity Science represents systems as co-evolving multi-layer networks, which is particularly well-suited to link mathematical models with actual data. in three examples I will present how complexity science can contribute to the understanding of the homo sapiens, how it can quantfy and reduce systemic risks, and how it gives us a way to re-think medicine.