Cross cutting theme: AI for Climate

Challenge

Assessment of the impact of climate action measures (socio-economical as well technological, as well as the development of new methods and technologies, requires accurate data. However, with the enormous expansion of ubiquitous data sources traditional methods for information retrieval do not suffice anymore. AI is needed to explore and exploit the heterogenous data sources at a wide range of temporal and spatial scales.

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