Home /Artificial Intelligence /Workshop /AI for Sustainable Urban Mining

AI for Sustainable Urban Mining

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Delivery Mode
Virtual / Online
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Level
Advanced
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Duration
3 Days(60-90 Minutes Each day)
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Certificate
Mentor Based
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Language
English
Rating
5 Stars
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About Workshop

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.
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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.
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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

Important Dates

Registration Ends

4 PM

Workshop Dates

2025-09-18
5:30 PM
5:30 PM
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What You Will Gain

Sample Certificate
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Who Should Attend

  • Students & Researchers in AI, sustainability, materials science, and environmental engineering

  • Industry Professionals in recycling, waste management, and resource recovery

  • Data Scientists & Engineers interested in applying ML to sustainability challenges

  • Policymakers & Consultants working on e-waste and circular economy strategies

  • Entrepreneurs & Innovators exploring urban mining and green technology solutions

Gurpreet Kaur

Assistant Professor

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