AI for Sustainable Urban Mining
LCA + ML for recovering critical minerals from e-waste.
About This Course
This 3-day workshop explores how Life Cycle Assessment (LCA) and Machine Learning (ML) can be applied to recover critical minerals from e-waste. Participants will gain hands-on experience in impact analysis, predictive modeling, and AI-LCA tool design for sustainable urban mining and circular economy solutions.
Aim
To train participants in applying Life Cycle Assessment (LCA) and Machine Learning (ML) for sustainable urban mining, enabling intelligent recovery of critical minerals from e-waste.
Workshop Structure
📅 Day 1 – Urban Mining & Life Cycle Thinking
- Introduction to Urban Mining: Concepts, Scope & Global Relevance
- Critical Minerals: What They Are & Why They Matter in E-Waste
- Overview of Life Cycle Assessment (LCA) Methodology
- Tools & Frameworks for Circular Material Accounting (e.g., SimaPro, openLCA)
- Hands-on: Conduct a Basic LCA for an Electronic Device (Mobile/Laptop)
📅 Day 2 – Machine Learning in E-Waste Recovery
- Machine Learning for Material Classification & Sorting
- Predictive Modeling for Recovery Potential of Critical Materials
- Case Studies: ML in Real-World E-Waste Facilities
- Data Challenges: Incomplete Data, Non-Uniform E-Waste, Mixed Sources
- Hands-on: Train a Simple ML Model to Predict Recovery from E-Waste Dataset
📅 Day 3 – Integrated Intelligence for Sustainable Recovery
- Integrating LCA + ML for Informed Decision Making
- AI-Assisted Optimization in Recycling Facility Design & Logistics
- Visual Dashboards to Monitor Recovery Efficiency & Environmental Impact
- Hands-on: Build a Dashboard Combining LCA Impact + ML Predictions
Who Should Enrol?
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Students & Researchers in AI, sustainability, materials science, and environmental engineering
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Industry Professionals in recycling, waste management, and resource recovery
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Data Scientists & Engineers interested in applying ML to sustainability challenges
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Policymakers & Consultants working on e-waste and circular economy strategies
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Entrepreneurs & Innovators exploring urban mining and green technology solutions
Important Dates
Registration Ends
09/18/2025
IST 4 PM
Workshop Dates
09/18/2025 – 09/20/2025
IST 5:30 PM
Fee Structure
Student Fee
₹1999 | $55
Ph.D. Scholar / Researcher Fee
₹2999 | $65
Academician / Faculty Fee
₹3999 | $75
Industry Professional Fee
₹5999 | $95
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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