AI-Assisted Circular Economy Pathways
Predictive waste-to-resource modeling for cities.
About This Course
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.
Workshop 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
Who Should Enrol?
-
Researchers and Students in AI, sustainability, and environmental sciences
-
Industry Professionals in manufacturing, supply chain, and waste management
-
Data Scientists and Engineers exploring AI for sustainable systems
-
Policymakers and Consultants working on circular economy transitions
-
Entrepreneurs and Innovators building circular business models
Important Dates
Registration Ends
08/04/2025
IST 4 PM
Workshop Dates
09/04/2025 – 09/06/2025
IST 5:30 PM
Workshop Outcomes
-
Understand circular economy frameworks, metrics, and global practices
-
Apply AI techniques for material recovery, waste forecasting, and lifecycle optimization
-
Develop decision-support systems and AI-powered lifecycle assessments (LCA)
-
Design dashboards to track circular economy KPIs
-
Prototype AI tools tailored to circular business models
-
Create actionable AI-driven roadmaps for sustainable transitions
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
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →