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Project cooperationUpdated on 14 May 2025

HORIZON Twin Transition Calls

Serra Eldem

Sustainability Incentives Specialist at BRISA BRIDGESTONE SABANCI TYRE MANUFACTURING AND TRADING INC.

İstanbul, Türkiye

About

We are interested in Twin Transition Calls. We can join consortia as use-case and demo partner for sustainable solutions.

Similar opportunities

  • Project cooperation

    Türkiye's Leading Coatings Manufacturer for "Cost-effective and Robust Continuous Biotech Bio-based Processes" Call

    Bağlan Deniz

    EU Projects Specialist at PMO Partners

    Istanbul, Türkiye

  • Project cooperation

    PVC Recycling Plant

    • Early idea
    • Consortium seeks Partners
    • Enabling technologies | (Advanced) Materials and additive manufacturing
    • Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components

    Robert Kunzmann

    Co-founder & COO at AC Biode

    Luxembourg, Luxembourg

  • Project cooperation

    AI, Digital Twin & Data-Driven Solutions for Circular Value Creation

    • Data technologies | Assistance and Expert systems
    • Enabling technologies | Network design of reverse supply chains
    • Data technologies | Design of an adaptable Digital Product Pass:
    • Enabling technologies | Robotic / handling - and assistance systems
    • Data technologies | (AI based) process and system control technologies
    • Enabling technologies | (Advanced) Materials and additive manufacturing
    • 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
    • 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
    • Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
    • 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)
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
    • 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.
    • 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)

    Süleyman Altınışık

    Expert R&D Engineer at OBSS Technology

    Istanbul, Türkiye