AI-powered knowledge integration to Carbon-neutral Cities
The aim of the project is to develop, test, and apply coupled complex systems models in a novel, artificial intelligence-based decision support system (AI-DSS) for handling complex socio-physical interactions, their implications, and potential feedbacks. The development with be done collaboratively by a network of researchers, urban planners, and other stakeholders (local NGOs, residents, and businesses). The Stockholm region in Sweden will be used as a test case to apply and train the models.
The trained modeling system will analyse various scenarios of urban transformation and their environmental impacts over both short- and long-term time horizons. The trained models and AI-DSS will then be prepared for application to different test cities (Gothenburg, Sweden; Chicago, USA; and Nanjing, China) for comparison of models, comparison of potential climate mitigation solutions, and testing of deep transfer learning techniques.
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Funding and participation
This project is funded by FORMAS and is a collaboration between Stockholm University (SU), KTH, Shanghai Jiao Tong University (SJTU), The University of Illinois at Urbana-Champaign (UIUC), Region Stockholm, and WSP.