This 3-day workshop explores how AI can accelerate circular economy transitions through intelligent resource mapping, material recovery, lifecycle optimization, and decision-support tools. Participants will learn from global case studies, gain hands-on experience with AI applications, and collaboratively design roadmaps for sustainable circular pathways.
Aim
To equip participants with practical knowledge of circular economy principles and hands-on skills in applying AI for resource mapping, material recovery, lifecycle optimization, and decision-support, enabling them to design prototype tools and roadmaps for sustainable circular pathways.
Structure
📅 Day 1 – Foundations of Circular Economy & Intelligent Resource Mapping
Introduction to Circular Economy: Models, Metrics & Misconceptions
Global Case Studies: Circular Strategies in Practice (EU, Asia, Africa)
Identifying Data Sources in the Circular Ecosystem (Material Flows, Lifecycle Data, Waste Streams)
Hands-on: Mapping Linear vs Circular Resource Flows Using Real Data
📅 Day 2 – Applying AI in Circular Economy Systems
AI for Material Recovery: Image Recognition, Sorting, and Classification
Predictive Analytics for Product Lifecycles & Reverse Logistics
Machine Learning for Waste Stream Forecasting & Resource Optimization
Hands-on: Train a Machine Learning Model for Waste Sorting or Predictive Maintenance
📅 Day 3 – Building Circular Intelligence Tools & Pathways
Decision Support Systems for Circular Transitions (AI + Systems Thinking)
