The traditional linear economy using a take‐make‐dispose model is resource intensive and has adverse environmental impacts. Circular economy (CE), which is regenerative and restorative by design, is recommended as the business model for resource efficiency. While there is a need for businesses and organisations to switch from linear to CE, there are several challenges that needs addressing such as business models and the criticism of CE projects often being small scale.
Technology can be an enabler toward scaling up CE; however, the prime challenge is to identify technologies that can allow predicting, tracking and proactively monitoring product's residual value to motivate businesses to pursue circularity decisions. In this PhD project, we will investigate an IoT‐enabled decision support system (DSS) for CE business model that effectively allows tracking, monitoring, and analysing products in real time with the focus on residual value. The DSS will use techniques and methodologies from the field of Explainable AI – where the focus will be on explaining decisions recommended by the system to the decision makers.
As part of this project, you will join a multi-disciplinary team of experts working on Artificial Intelligence, IoT and Circular Economy. You will be part of the internationally-leading IoT Innovation Lab at the University of Bradford, and will work with other researchers in the areas of IoT, Circular Economy, Digital Health and AI.