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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.

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.

Belongs to: WaterCentre@KTH
Last changed: Oct 20, 2022