What connects complex networks in trade or social networks is also at play in the climate system and even the human brain. Frontier research using advanced mathematical methods explores the dynamics of all these; dynamics that are often non-linear and hard to detect but to some extent universal in nature. Machine Learning, often dubbed Artificial Intelligence, is applied to this end, making sense out of Big Data from weather phenomena to human interactions. Decision theory and Game Theory helps to understand why people do what they do. And it helps to develop novel designs for processes that may support finding comprehensive solutions.
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Indian monsoon can be predicted better after volcanic eruptions
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Novel network analysis confirms: #stayathome helps limit virus mutations
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Identifiying crises through network connections: Nature Physics publication
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Artificial Intelligence: applying ‚Deep Reinforcement Learning‘ for sustainable development
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Leibniz PhD Award for Catrin Ciemer
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Postdoc Award of the State of Brandenburg for Niklas Boers
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Early warning: Physicists from Giessen, Potsdam and Tel Aviv forecast "El Niño" for 2020
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Jonathan Donges awarded with most important prize for young German researchers
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Time series networks: “Transforming messy big data into something comprehensible”
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