Lead: PredictBy December 2024

D3.7 Scientific, policies and practices development V2

The second iteration of the tracker work adds technical depth and opens the question of automation. It describes how artificial intelligence and machine learning — in particular large language models — could be used to identify current scientific methods, outcomes and policies worldwide, and keep the trackers up to date without manual re-screening. It is equally clear that preliminary analysis is needed to establish the right frameworks before any model is trained.

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