Project description
New mapping to prioritise mineral prospective areas
Mineral prospectivity mapping is a data-driven or knowledge-driven approach used to make better use of mineral exploration data. It helps outline and prioritise prospective areas for exploring undiscovered mineral deposits. The EU-funded EIS project will develop new data analysis methods. Specifically, it will merge artificial intelligence, machine learning and deep learning, with new geomodels and mineral systems modelling. This will reduce exploration costs and improve the accuracy of the targeting of the early phase exploration. EIS aims also to emphasise the importance of critical raw materials to the EU's economy and welfare. Bringing together 17 partners from across the EU and South Africa and Brazil, the consortium represents the metal-producing regions.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation action
Coordinator
02151 Espoo
Finland
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Participants (15)
09599 Freiberg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
45060 Orleans
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971 87 Lulea
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28006 Madrid
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S-75128 Uppsala
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69600 Kaustinen
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75011 Paris
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
02240 Espoo
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9300 Bloemfontein
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20014 Turku
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116 36 Praha 1
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09599 Freiberg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
41860 Gerena Sevilla
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103 25 Stockholm
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267 51 Zdice
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Partners (1)
13083 875 Campinas Sp
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