Project cooperationUpdated on 1 April 2025
Impact Measurement of circular value creation
Researcher at LMU München - Professorship of Innovation, Entrepreneurship and Sustainability
Berlin, Germany
About
The project explores the impact measurement of circular value creation, aiming to quantify the benefits of circular economy practices across environmental, social, and economic dimensions. By developing robust assessment frameworks and key performance indicators (KPIs), the initiative seeks to provide businesses and policymakers with actionable insights. The goal is to enhance transparency, drive sustainability, and support the transition toward a more circular and resource-efficient economy
Stage
- Early idea
Organisation
LMU München - Professorship of Innovation, Entrepreneurship and Sustainability
University
Munich, Germany
Similar opportunities
Expertise
Bridging the gap between water related scientific research and policy-making
BURCU YAZICI
Expert at Turkish Water Institute (SUEN)
İstanbul, Türkiye
Project cooperation
- 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
Expertise
Value retention and avoided emissions
Rafael Laurenti, PhD
Senior Expert LCA for Circularity at RISE Research Institutes of Sweden
Stockholm, Sweden