REALISE

REALISE is a MSCA Doctoral Network that explores the opportunities, challenges, and risks of Artificial Intelligence in Igneous Petrology. It trains the next generation of Earth scientists and entrepreneurs in innovative approaches to petrological data acquisition, modeling, and interpretation using machine learning. It aims at “Deriving New Skills in Volcanic Hazard Assessment and the Economy of Critical Raw Materials”. The project explores key scientific questions about the physical, thermodynamic, and chemical evolution of magmatic systems, the enrichment and segregation of critical elements from magma, and their emplacement at different levels in the Earth’s crust.

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Doctoral Candidates

Fifteen Doctoral Candidates will receive systematic training and carry out research focused on four main objectives: applying machine learning to understand the lifecycle of magmas; integrating high-resolution analytical data to produce new petrological insights; combining physics and machine learning to develop advanced computational models; and exploring the use of generative AI, hypothesis formulation, and symbolic regression in petrology. The research will be applied to high-risk volcanic regions, as well as key sites for critical raw materials.