Scientific, policies and practices development V2

This document is the second version of the development, execution, and creation of the scientific, policies, and practices tracker. In the future deliverables of this series of deliverable, we will provide more details on the technological aspects of the trackers and how the work can and will be automated, using Artificial Intelligence and Machine Learning methodologies, based on Language Learning Models, to trace updated state-of-the-art scientific methodologies, outcomes, and policies across the world. In order to train the Large Language Models first analyses need to be conducted in order to establish the correct framework and train the models subsequently.

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Coordinator:
Universidad Politecnica de Madrid
Calle Ramiro de Maeztu 7
Edificion Rectorado
Madrid 28040, Spain

improve@lst.tfo.upm.es

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This project is supported by the Innovative Health Initiative Joint Undertaking (IHI JU) under grant agreement No. 101132847. The JU receives support from the European Union’s Horizon Europe research and innovation programme and COCIR, EFPIA, EuropaBio, MedTech Europe, Vaccines Europe, and the contributing partners