Summary
The GoldenRAM (G-RAM) project will provide easy exchange of accurate information on Raw Materials in the European Union and partnering resource-rich countries for organisations engaged in the mining industry and public stakeholders. The project will develop an Earth Observation Platform (G-RAM platform) leveraging novel Artificial Intelligence (AI) Natural Language processing in combination with advanced, proprietary Artificial Intelligence Knowledge Packs (AIKPs) which simplify complex computation workflows and provide seamless access to a unique and validated combination of geological and remote sensing data, domain expertise, and multipurpose mapping technologies for geological and mining industry stakeholders. Especially, the introduction of AIKPs plays an important role in advancing the TRL of state-of-the-art solutions and enabling their wider adoption among the industry and stakeholders. The G-RAM platform will be demonstrated in 6 field trials in Finland (2 sites), Sweden, Romania, Ukraine, and Portugal creating a compelling value proposition for implementation across the mining industry value chains and improving responsible and sustainable supply of CRMs: Co, Li, REE, P; PGMs Pd and Pt; as well as Cu and Ni to Europe. The project will increase the raw material investment potential for Ukraine by promoting exploitation prospects via the G-RAM platform therefore supporting implementation of the Roadmap for EU-Ukraine Strategic Partnership on raw materials. The consortium brings together interdisciplinary expertise fit to solve the challenges related to the building of large-scale ICT platforms, geologic and remote-sensing know-how, benchmarking, market analysis, business modelling and result dissemination, and will include 4 academic/research centres, 5 SMEs, and 4 end-users, supported by a strong External Advisory Board of experts in geosciences and mining.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101138153 |
| Start date: | 01-01-2024 |
| End date: | 31-12-2026 |
| Total budget - Public funding: | - 6 660 647,00 Euro |
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Original description
The GoldenRAM (G-RAM) project will provide easy exchange of accurate information on Raw Materials in the European Union and partnering resource-rich countries for organisations engaged in the mining industry and public stakeholders. The project will develop an Earth Observation Platform (G-RAM platform) leveraging novel Artificial Intelligence (AI) Natural Language processing in combination with advanced, proprietary Artificial Intelligence Knowledge Packs (AIKPs) which simplify complex computation workflows and provide seamless access to a unique and validated combination of geological and remote sensing data, domain expertise, and multipurpose mapping technologies for geological and mining industry stakeholders. Especially, the introduction of AIKPs plays an important role in advancing the TRL of state-of-the-art solutions and enabling their wider adoption among the industry and stakeholders. The G-RAM platform will be demonstrated in 6 field trials in Finland (2 sites), Sweden, Romania, Ukraine, and Portugal creating a compelling value proposition for implementation across the mining industry value chains and improving responsible and sustainable supply of CRMs: Co, Li, REE, P; PGMs Pd and Pt; as well as Cu and Ni to Europe. The project will increase the raw material investment potential for Ukraine by promoting exploitation prospects via the G-RAM platform therefore supporting implementation of the Roadmap for EU-Ukraine Strategic Partnership on raw materials. The consortium brings together interdisciplinary expertise fit to solve the challenges related to the building of large-scale ICT platforms, geologic and remote-sensing know-how, benchmarking, market analysis, business modelling and result dissemination, and will include 4 academic/research centres, 5 SMEs, and 4 end-users, supported by a strong External Advisory Board of experts in geosciences and mining.Status
SIGNEDCall topic
HORIZON-CL4-2023-RESILIENCE-01-06Update Date
12-03-2024
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