About Workshop
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)
- AI-Powered Lifecycle Assessment (LCA) & Impact Evaluation
- Visual Dashboards for Monitoring Circular KPIs (Circularity Index, Recovery Rate, etc.)
- Hands-on: Design a Prototype AI Tool to Support a Circular Use-Case
Important Dates
Registration Ends
4 PM
Workshop Dates
2025-09-04
5:30 PM
5:30 PM
What You Will Gain
Outcomes
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Understand circular economy frameworks, metrics, and global practices
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Apply AI techniques for material recovery, waste forecasting, and lifecycle optimization
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Develop decision-support systems and AI-powered lifecycle assessments (LCA)
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Design dashboards to track circular economy KPIs
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Prototype AI tools tailored to circular business models
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Create actionable AI-driven roadmaps for sustainable transitions
Who Should Attend
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Researchers and Students in AI, sustainability, and environmental sciences
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Industry Professionals in manufacturing, supply chain, and waste management
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Data Scientists and Engineers exploring AI for sustainable systems
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Policymakers and Consultants working on circular economy transitions
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Entrepreneurs and Innovators building circular business models