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, graph neural networks) to match questions to relevant geodata workflows; integrate semantic web technologies (e.g. RDF, SPARQL, OWL), large language models and graph neural networks into the reasoning
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of NBS and R2HE (b) their different urban/rural values and knowledges and the way they leverage them to protect, restore and sustainably use ecosystems and biodiversity (c) uses of transnational networks
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computer science, and theoretical physics. We participate in university focus areas in Complex Systems and Applied Data Science. More information For more information, please contact Pieter Belmans external link
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dissemination of the project, building a network of affiliates and experts; co-curating the website, with blogs and updates of relevant activities; publishing two articles in peer-reviewed journals, or chapters