Urban Metabolism Modeling with AI
Tracking resource flows (energy, water, waste) in megacities.
Skills you will gain:
About Program:
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.
Aim: To enable participants to apply AI-driven modeling and simulation for tracking and optimizing urban resource flows (energy, water, waste) in megacities, fostering smarter decision-making, sustainable planning, and effective policy support.
Program Objectives:
What you will learn?
📅 Day 1 – Foundations & Data Understanding
- Introduction to Urban Metabolism: Concepts & Global Case Studies
- Resource Flow Mapping in Megacities (Energy, Water, Waste)
- Identifying and Sourcing Urban Data (IoT, Satellite, City Dashboards)
- Hands-on: Collecting & Preprocessing Real Urban Datasets
📅 Day 2 – AI for Resource Flow Modeling
- Applications of AI in Urban Systems: Forecasting & Optimization
- Machine Learning for Resource Flow Prediction
- Anomaly Detection in Utilities (Leaks, Waste Overflow, etc.)
- Hands-on: Building AI Models to Forecast Energy & Water Demand
📅 Day 3 – Simulation, Visualization & Real-World Application
- Urban System Simulation & Digital Twins for Smart Cities
- Visualizing Urban Resource Flows (QGIS, Streamlit Dashboards)
- Communicating Results for Policy & Decision Support
- Hands-on: Build a City Resource Dashboard with AI Insights
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
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
Career Supporting Skills
Program 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.