Project cooperationUpdated on 30 April 2025
Looking for cluster collaboration in the framework EU projects (Horizon Europe or other opportunities)
About
Through these projects, our objective is to offer added value services to our members in circular economy, Industry 5.0, sustainable energy (incl. hydrogen), defence & security, medtech or mobility, including the battery sector.
Our ecosystem is composed of 400 members, industries (SME and large groups, from the Metal sector but not only), tech providers (in IT technologies) and experts (RTOs and University labs).
We are already involved in EU projects and are currently screening other opportunities.
Similar opportunities
Project cooperation
Collaboration for EU open calls (Horizon Europe) in the battery field (raw materials and recycling)
Sophie Schmitz
International Project Manager at Pole Mecatech
Suarlée (Namur), Belgium
Project cooperation
HORIZON-CL4-INDUSTRY-2025-01-TWIN TRANSITION-39
Eliza Panagiotidou
Circular Economy Strategist | Sustainable Ecosystems Builder | Industrial Ecologist | Founder at Urban Camel
Athens, Greece
Project cooperation
- Already defined
- Expertise offered
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Enabling technologies | Network design of reverse supply chains
- Enabling technologies | Robotic / handling - and assistance systems
- 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
- 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.
Justus von Geibler
Co-Head Research Unit Innovation Labs at Wuppertal Institut für Klima, Umwelt, Energie
Wuppertal, Germany