SOURCE-LINKED INTELLIGENCE
Bridging Igneous Petrology and Machine Learning through Intersectoral, Interdisciplinary, and Intercontinental Staff Exchanges
Bridging Igneous Petrology and Machine Learning through Intersectoral, Interdisciplinary, and Intercontinental Staff Exchanges The REALI3SE Staff Exchange project will advance research and discovery at the intersection of igneous petrology, geochemistry, and artificial intelligence, bringing together Earth scientists, data scientists, and industry partners from Europe, South America, Africa, and the USA. By combining multimodal data acquisition with advanced machine-learning (ML) methodologies, REALI3SE will transform how geological processes are observed, modeled, and interpreted, from magma generation and evolution to volcanic eruptions and ore formation. Through structured secondments, researchers from academia, research institutions, and industry will jointly develop standardized protocols for data harmonization, spatial co-registration, and fusion of multimodal datasets derived from different analytical techniqu
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1172340
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.