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BRIDGING IGNEOUS PETROLOGY AND MACHINE LEARNING FOR SCIENCE AND SOCIETY: Deriving New Skills in Volcanic Hazard Assessment and the Economy of Critical Raw Materials

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BRIDGING IGNEOUS PETROLOGY AND MACHINE LEARNING FOR SCIENCE AND SOCIETY: Deriving New Skills in Volcanic Hazard Assessment and the Economy of Critical Raw Materials REALISE equips a new generation of Doctoral Candidates (DC) with cutting-edge skills in volcanic hazard assessment and the exploitation of critical raw materials by combining advanced petrological studies with Machine Learning (ML) algorithms and workflows. To achieve this goal, REALISE brings together experts in Earth Sciences and Artificial Intelligence (AI) in an unprecedented attempt to develop training-to-research paths, i.e., Individual Research Projects (IRP), focusing on four key research objectives: 1) Systematically investigating the use of ML techniques to probe the lifecycle of magmas; 2) Fusing complementary information derived from cutting-edge analytical techniques to gather unprecedented petrologic data; 3) Bridging the gap between physics

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recordType

award

status

SIGNED

region

EU

value

4356827.64

unit

EUR