Our vision is a sustainable world for everyone. We define this as a just transformation towards a future in which global warming is reversed to a tolerable level and Earth’s resources are managed in such a way that everyone can enjoy a good life within the planetary boundaries.
Together with our stakeholders, we shape transformation processes. To this end, we develop science-based solutions for ecological, social, political and economic challenges: from practical measures for urban communities and companies to fresh impetus for international climate negotiations. In doing so, we always keep track of the big picture and combine future knowledge from various fields of research and subject areas.
Data technologies, data ecosystems and cross-linking
Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.(AI based) Material and Product Design, Decomposition and SeparationSimulation models and predictive analytics to assess the scalability of circular processes across industriesDesign of an adaptable Digital Product Pass
Other enabling technologies
Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product PassportTools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
Replication & scaling of upcycling stores in Europe: AI-assisted scalable business models, multichannel marketing, institutional conditions
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.