SOURCE-LINKED INTELLIGENCE
Vectors to Accessible Critical Raw Material Resources in Sedimentary Basins
grates the scientific and social pathways to successful mineral exploration and mining. The first pillar of our approach is a geological prospectivity toolkit based on an entirely new workflow using machine learning-based integration of less invasive geological, geochemical and geophysical measurements. The workflow will be validated in three European sedimentary basins and will be transferable worldwide. The second pillar is a social acceptance procedure that identifies, for the first time, the values that the European public invokes when deciding about mineral development. This will result in a Social Acceptance index and a new body of knowledge that reflects diverse values-based perspectives. The third pillar is an integrated toolkit consisting of a unique, distributed, multimodal, self-learning, and interactive platform that will consider both geological exploration potential and socio-economic factors to yield a data-driven, quantitative and integrative assessment of regions more suitable for exploration and, eventually, mining. The results will be freely available via an eng
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- recordType
- award
- status
- CLOSED
- region
- EU
- value
- 5598316.84
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.