About
At Universidad del Bío-Bío, we position ourselves as a leading Chilean institution of higher education, dedicated to driving innovation, cutting-edge research, and high-impact professional development. Our comprehensive academic offerings span multiple disciplines, enabling us to foster a forward-looking and integrated learning ecosystem.
We prioritize strategic collaboration and meaningful community engagement as key drivers of value creation and sustainable impact. Through technology transfer and robust partnerships, we actively contribute to regional, national, and global development. Our institution maintains strong, long-standing ties with critical industries, including manufacturing, construction, agriculture, forestry, transportation, logistics, and the food sector.
Data technologies, data ecosystems and cross-linking
Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems(AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths(AI based) process and system control technologies(AI based) Material and Product Design, Decomposition and SeparationSimulation models and predictive analytics to assess the scalability of circular processes across industriesAlgorithm that shows the (positive) impact of a Circular Economy process or Circular Economy productApproaches to support SME fully exploit the value of existing CVC-related dataDesign of an adaptable Digital Product Pass
Other 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)AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled componentsIndustry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains(Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurementRobotic / handling - and assistance systems(Advanced) Materials and additive manufacturingLife cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product PassportReverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)Network design of reverse supply chains