This 3-day workshop explores urban metabolism modeling with AI, focusing on how megacities consume and circulate resources like energy, water, and waste. Participants will learn to source and process urban data, build AI models for forecasting and anomaly detection, and create interactive dashboards for simulation and policy support. The program blends theory with hands-on practice, equipping attendees with tools to design smarter, more sustainable urban systems.
Outcomes
By the end of this workshop, participants will be able to:
Understand the principles of urban metabolism and resource flow mapping.
Source, preprocess, and analyze urban datasets from IoT, satellite, and city dashboards.
Apply AI and machine learning to forecast energy and water demand and detect anomalies.
Use simulation and digital twin approaches for smart city resource planning.
Create interactive dashboards and visualizations for policy and decision support.
Design a prototype AI-based urban metabolism tracker for sustainable urban management.
Who Should Attend
This workshop is designed for:
Students, researchers, and professionals in urban planning, AI/ML, sustainability, and environmental studies.
Policy makers, city planners, and engineers working on smart cities and resource management.
Anyone interested in applying AI for sustainable urban systems and future-ready city design
