Project cooperationUpdated on 29 April 2025
HORIZON-CL4-2025-03-DIGITAL-EMERGING-07
About
We are preparing consortium for the call. Presenting our idea during the event. Looking for partners.
Proposals should indicate which approach they are targeting. Proposals may combine several approaches above, indicating which is the main approach, provided there is added value in such a combined approach; arbitrary combinations without integration are excluded. The use of generative AI techniques is encouraged for all the approaches. The applicants will specifically describe how they will secure the acquisition of quality manufacturing data from real-world industrial use cases of industry partners or companies outside the consortium in the context of the data volume necessary to train and fine tune the models used in the proposal.
Similar opportunities
Project cooperation
Eureka 2025 Circular Value creation
- Early idea
- Already defined
- Expertise offered
- Consortium seeks Partners
Carolina Andrén
Senior Expert Climate & Circular Finance at RISE Research Institutes of Sweden
Stockholm, Sweden
Expertise
Ioana Petre
Communications Research Engineer at BEIA
Bucharest, Romania
Project cooperation
Digital Twin for Regional and Cross-Border Plastics Cycles (REPLAY)
- Early idea
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Data technologies | Design of an adaptable Digital Product Pass:
- Data technologies | (AI based) process and system control technologies
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
- Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
Patrick Cato
Professor at Big Data Research Group Ingolstadt
Ingolstadt, Germany