Project cooperationUpdated on 3 June 2025
Circular and Sustainable Transport Infrastructure
About
We have knowledge through various National and European projects, about Coupling circularity and climate mitigation in transport system. we are also actively developing innovative solutions supporting data infrastructure, Life cycle assessment, AI-based solutions for sustainable built environment and management. In addition, we have the potential to test and demonstrate innovative solutions and scaleability of circular processes across industries.
For further information, see some of our previous and ongoing project in transport
Stage
- Early idea
- Already defined
Topic
- 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.
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- 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)
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Type
- Consortium seeks Partners
- Expertise offered
Organisation
Similar opportunities
Project cooperation
Looking for R&D Partners in AI-Driven Data Governance and Circular Ecosystems
- Already defined
- Expertise offered
- Consortium seeks Partners
- Data technologies | (AI based) process and system control technologies
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- 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 | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
emre ışık
Data & AI Solutions Lead at DIP BİLGİSAYAR YAZILIM TİCARET ANONİM ŞİRKETİ
İstanbul, Türkiye
Project cooperation
Euraka & Horizon Project Oppotunity
- Early idea
- Expertise offered
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
Hakan Bozcu
Senior Innovation Projects Specialist at Eczacıbaşı Building Products
Bilecik, Türkiye
Project cooperation
- Early idea
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- 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 | (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.
Mathieu ROMANN
Researcher - Master in Civil engineering at University of applied sciences of Geneva (HEPIA)HES-SO
Geneva, Switzerland