REMHub project proposal will create a cutting-edge digital innovation hub propelling EU excellence for Rare Earth Elements (REEs ) and magnets. REMHub will develop test and pilot novel technologies for exploration and primary production of rare earths and recovering rare earths from side streams to enhance supply security of REEs in EU. In addition, Re-X (Recycle, Reuse, refurbishment and repurposing) technologies for rare earths and valuable metals from end-of-life products as well as electric machine design for easier permanent magnet recycling will be developed. The project will also identify and engage relevant stakeholders for developing REE value chain in EU. In addition, in the innovation hub will ensure that the novel technologies developed in the project will be commercialized and offered as services in a digital platform. The project will also have dynamic communication and dissemination with the aim to involve and engage the public to develop trust and awareness related to REEs as well as to build capacity in EU. The hub targets transformative material sourcing for REEs and REE magnets, including traceability, digital twinning, and digital passport. The project partners cover the entire REE value chain starting from mineral exploration, through mineral processing and refining to metal production and magnet making as well as recycling. The project incorporates safe and sustainable by design framework (SSbD) including design for Re-X (recycling, re-use, refurbishment, repurposing) approach integrating easy dismantling and circularity properties. REMHub will significantly improve the supply security of REEs in the EU and with the digital innovation hub considerably accelerate the development of technologies and services to faster and easier market entry.

New environmental, economic and societal requirements in the EU’s transition to a low-carbon and digital economy call for innovative methods, technologies and techniques to be developed and applied in mineral exploration. To unlock the CRM potential in Europe, AGEMERA will conduct local state-of-art geological and geophysical surveys over a total of ~4,700 km2 in order to detailly map CRM resources in 6 EU countries and 1 third country (Zambia). The geophysical field trial surveys will demonstrate three novel non-invasive survey methods (at up to a TRL5) based on remote sensing and related data analysis: 1) passive seismic methods, 2) multi-sensing drone system combining magnetic, radiometric and electromagnetic sensing, and 3) muon-based multidetector density detection system. The project will use data from open-access databases (e.g., European Geological Data Infrastructure, EGDI), the data collected from the field by project geoscientists, and various geophysical survey methods to refine and improve the genetic mineral system models of the various deposit types known to contain lithium, cobalt, molybdenum, vanadium, PGMs, niobium, tantalum, bauxite and REE. The project will introduce the existing guidance for the application of UNFC for mineral resources to the partner countries through stakeholders, courses and public events. The project will survey citizens in the project countries, create a CRM educational package targeting schools and universities, publish an online CRM serious game, organise public events, as well as online news flashes, with the aim to reach 5,000,000 citizens by 2030. The project will create an open-access SoftGIS analysis and database on people’s social, cultural, environmental and economic concerns related to mining and mineral exploration. These data enable the creation of socio-economic potential maps to be used in parallel with the geological potential maps, consequently ensuring a basis for socially accepted and sustainable mining.

In the context of industrialization, informatization and sustainable development of the mining sector, Mine.io solution will build a novel mining digital ecosystem and a systemic structure for the implementation of Industry 4.0 in mining industrial environments. Mine.io solution will embrace the whole mining value chain from resources’ exploration, extraction, and processing to waste management and post mining activity. Our fundamental concept is the provision of a manufacturing system architecture, under cloud environment, to be applied in the digital twin mining “shop floor”. Mine.io envisions an innovative cloud services system and a novel mining ecosystem of sharing, interconnection, and open cooperation. Mine.io will establish a unified data infrastructure and collaborative platform ecosystem to promote the openness and sharing of data and improve the cooperation environment between mining enterprises. Mine.io aims the enhanced systematization of the basic processes of the mining industry, that involve asset and process equipment optimization, through embedded predictive analytics, and optimization procedures based on completely data-driven processes and the integrated cyber-virtual and cyber-physical systems, automation and robotization of mining exploration and production processes, sustainable mining, and post mining management. To meet the increasing social and environmental concerns, Mine.io will enable a resource optimization and digital transformation framework, embedding specific circular economy and “low-impact mining” strategies. Energy innovations, including the transition to autonomous electric vehicles, will lead to socially conscious profit, while creating a safer and cleaner environment for front-line workers, including higher air quality for those working underground. Mine.io ecosystem will be validated in different demonstration sites, involving 4 operational mine facilities and 2 historic mine sites, in 5 EU countries.

XTRACT seeks to introduce the novel concept of the Zero Emission Mine of the Future, introducing innovative technologies for sustainable and decarbonised extraction. The XTRACT technological pathways to a lower mining emission future are addressing well-identified emission intensive points of the current mining value chain. XTRACT will add a highly innovative new alternative to the toolbox of how stockpiles and tailings are assessed, relieving the pressure on resources and contributing to the realization of EU Climate Neutrality Goals, with a significant benefit of emission reduction. XTRACT will scale remote sensing systems and analytical resources to allow the systematic and remote monitoring of “hard-to-access” mining sites and waste deposits. XTRACT targets the reduction of ore losses and mining waste, through a novel system for the control of the ore loss and dilution, reducing overall mine emissions and economic loss. The trend towards declining orebody grades and continued development of the pursuit of existing operation to exploit lower grade deposits is likely to continue, in the absence of high-grade project discovery. XTRACT will develop and validate innovative microinvasive technologies and solutions to extract high-tech elements from minerals and wastes, specifically tailored to remote, “hard-to-reach” locations and small quantities, where extraction is unprofitable. The in-situ bioleaching process and membrane treatment will be applied and optimized with the aim to achieve enhanced microbial activity, catalyst production, and therefore, maximum metal recovery from the source. XTRACT will introduce low-TRL green technologies of phytoextraction and phytoremediation, particularly appropriate for mining waste piles and abandoned sites, that represent a solution for mine waste remediation but also for the extraction and recovery of various precious metals. XTRACT will be validated in 5 case studies in Germany, Sweden, Portugal and Greece.

KINETIKA embraces Industry 4.0 concepts to create a groundbreaking 4D digital twin framework for cultural heritage (CH) objects with mechanical parts, focusing on movable structures of industrial heritage and cultural heritage masonry. By integrating advanced imaging - photogrammetry, laser scanning and muography - KINETIKA captures both the physical form and internal complexity of objects, reflecting their dynamic nature. Through IoT-based sensor networks, the project continuously monitors structural integrity, environmental conditions, and mechanical performance, feeding data into AI-driven analytics for anomaly detection, predictive maintenance, and conservation strategies. The core principles of the 4D Digital Twin include accurate 3D representation, displacement or strain estimation, functional simulation, predictive failure analysis and time-based evolution modelling. These capabilities are enhanced by advanced computer vision and AI algorithms, enabling new levels of study and engagement with CH assets. KINETIKA also emphasises interactive and cross-media engagement, combining 3D models, images, sensor data and simulations to create immersive experiences for researchers, educators and the public. Collaboration between the cultural and industrial sectors is central, with KINETIKA's platform being seamlessly aligned with the ECCCH framework to ensure data interoperability. Third-party CH service providers will offer and consume specialised services through a secure interface, enhancing the ECCCH data while tailoring solutions for different heritage professionals. The project will validate its innovations through representative case studies, including clock towers, looms and drawbridges, demonstrating the platform's adaptability and guiding further applications across a wide range of cultural artefacts.