ExpertiseUpdated on 16 May 2025

Bridging the gap between water related scientific research and policy-making

BURCU YAZICI

Expert at Turkish Water Institute (SUEN)

İstanbul, Türkiye

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

  • Project cooperation

    Impact Measurement of circular value creation

    • Early idea

    Amyn Vogel

    Researcher at LMU München - Professorship of Innovation, Entrepreneurship and Sustainability

    Berlin, Germany

  • Expertise

    Our main expertise in European HE-funded projects

    Anna Aseeva

    Sustainability expert at Digital for Planet

    Zurich, Switzerland

  • Project cooperation

    MAIUpcycle: Mainstreaming upcycling through the AI-assisted replication and scaling of upcycling stores in Europe

    • 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