SOURCE-LINKED INTELLIGENCE

Reinforcing the Scientific Excellence of the Institute for Ethnopharmacological Studies and Phytotherapy (IESP) through Twinning with Computer Science (CS)

CORDIS · observation · Publication date unknown

derived from several ethnopharmacological sources (e.g. manuscripts, folklore texts, ethnobotanical studies, ETHCSTWIN's subsequent phase will involve knowledge transfer and capacity building in AI, Machine Learning, and Data Mining methodologies, as well as advancing ethnopharmacological studies among the project's partners. This newly acquired knowledge and capabilities will contribute to developing of the ETHCSTWIN platform, which will serve as a resource for data collection, processing, and creating an extensive relational database comprising a vast dataset repository. The project will establish an Ecosystem Excellence Aggregator, presented as an open science community, that will host the ETHCSTWIN database and toolkit and will offer support for stakeholder training. ETHCSTWIN will provide a unique opportunity for IESP and its partners to develop the first European Ecosystem with IESP as the Regional Research Centre on Ethnopharmacology and Phytotherapy, connecting the Balkans, Mediterranean, and Central Europe. The successful implementation of this project will facilitate futur

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recordType

award

status

SIGNED

region

EU

value

1496750

unit

EUR