ExpertiseUpdated on 16 May 2025
Bridging the gap between water related scientific research and policy-making
About
We are keen to contribute to the policy integration dimension of circular value creation projects. Our approach involves systematically analysing how project outcomes align with existing policy frameworks, identifying areas of synergy or conflict, and developing strategic roadmaps to facilitate the adoption of sustainable practices. By translating technical findings into actionable policy recommendations, we aim to support evidence-based decision-making and enhance the effectiveness of circular economy initiatives.
Similar opportunities
Expertise
Our main expertise in European HE-funded projects
Anna Aseeva
Sustainability expert at Digital for Planet
Zurich, Switzerland
Project cooperation
Impact Measurement of circular value creation
- Early idea
Amyn Vogel
Researcher at LMU München - Professorship of Innovation, Entrepreneurship and Sustainability
Berlin, Germany
Project cooperation
Digital ecosystem for circular value creation
- 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 | Approaches to support SME fully exploit the value of existing CVC-related data
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- 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 | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- 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.
- Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)
Yoav Nahshon
Team Leader Materials Informatics at Fraunhofer IWM
Freiburg, Germany