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The Frankfurt Institute for Advanced Studies (FIAS) brings together researchers in the areas of physics, mathematics, brain research, life science, and computer science. As a platform for integrating the sciences, FIAS provides a foundation for decisive progress in research through cooperation, exchanging ideas, and overcoming structural barriers between the disciplines. About 200 scientists from 25 countries are doing research at FIAS.
It is an ambitious independent scientific institution while at the same time bundling research activities at the University of Frankfurt and neighbouring research centres. Scientists from FIAS and from Goethe University join forces to educate graduate students in the Frankfurt International Graduate School for Science. Interdisciplinary collaboration especially with computer scientists is essential for state-of-the-art research in theoretical physics. Theorists at FIAS closely collaborate with their experimental colleagues working at major accelerator centers like GSI (Darmstadt), CERN-LHC (Geneva), BNL-RHIC (Brookhaven) and are closely involved in the preparations for the future FAIR experiments within the program HIC for FAIR.
Research Group of physics includes Marcus Bleicher, Elena Bratkovskaya, Mishustin, Piero Nicolini, Hannah Petersen and Stefan Schramm. Neuroscience projects are Research Group of Thomas Burwick, Hermann Cuntz, Matthias Kaschube, Jörg Lücke - Computational Neuroscience and Machine Learning, Christoph von der Malsburg von der Malsburg Lab , Visvanathan Ramesh - System Engineering for Computer Vision, Constantin Rothkopf - Beliefs, representations, and actions group, Wolf Singer and Jochen Triesch. While practice and research on economic activity and risk management has focused on individual institutions it is only recently widening its view towards systemic interactions. At this level new mechanisms and feedback, some certainly still waiting to be identified, come into play which can threaten the stability of the financial system as a whole. To tackle this problem, FIAS research takes an interdisciplinary approach drawing on expertise from machine learning, information theory and complex systems.
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