CORDIS Project
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DYNAMICAUS aims to enhance understanding of complex systems like climate change and healthcare through improved causal inference methods. The project seeks to develop robust techniques that integrate machine learning with traditional modeling to inform effective policy decisions.
Tackling critical global challenges – climate change, personalized healthcare, or pandemic preparedness – demands robust quantification and understanding of 'if-then' relationships in complex spatio-temporal systems.
Traditional dynamical models are limited by oversimplifications and computational constraints, while powerful hybrid models leveraging machine learning (ML) lack the interpretability and generalization capabilities essential for entrusting them with policy guidance.
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HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
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Germany, Muenchen
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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