About Workshop
This advanced 3-day workshop integrates Life Cycle Assessment (LCA), AI/ML modeling, and carbon intelligence dashboards to equip participants with the skills to analyze, predict, and optimize environmental impact across industries. Hands-on exercises ensure practical expertise in real-world sustainability workflows.
Aim
Enable participants to leverage AI-powered digital tools to perform comprehensive LCA, identify carbon hotspots, and create actionable sustainability dashboards for research and industry applications.
What Participants Will Learn
- Understand LCA methodology, lifecycle boundaries, and environmental indicators.
- Apply AI/ML models for carbon footprint prediction and hotspot analysis.
- Build dashboards and decision-support systems for ESG and sustainability reporting.
- Integrate real-time data and scenario analysis into lifecycle decision-making.
Structure
📅 Day 1: Foundations of LCA and Environmental Data
- Importance of LCA in sustainability, ESG, and product design
- LCA phases: Goal & Scope, Inventory, Impact Assessment, Interpretation
- Life-cycle boundaries & environmental indicators (carbon, energy, water, emissions, waste)
- Scope 1/2/3 emissions and digital LCA workflows
🛠️ Hands-on:
- OpenLCA model exploration
- Carbon footprint calculation
- Data visualization
📅 Day 2: AI & ML for Carbon Prediction and Hotspot Analysis
- Machine learning models: Regression & Clustering for environmental impact
- Hotspot detection and scenario-based LCA comparison
- Sensitivity, uncertainty, and optimization using AI
- Real-time data integration for dynamic sustainability decisions
🛠️ Hands-on:
- Regression & clustering models
- Hotspot analysis
- Genetic Algorithm optimization
📅 Day 3: Sustainability Dashboards and AI-Enabled Decision Support
- Carbon intelligence dashboards: stage-wise emissions, hotspots, reduction potential
- ESG reporting, digital product passports, and circular economy strategies
- AI-powered LCA decision-support systems & climate scenario modeling
- Deployment considerations: data standardization, reproducibility, transparency
🛠️ Hands-on:
- Dashboard creation (Excel/Power BI/Streamlit)
- Mini project: AI-assisted carbon hotspot detection
Important Dates
Registration Ends
4.30 pm
Workshop Dates
2026-05-29
5.30 PM
5.30 PM
What You Will Gain
Outcomes
By the end of the workshop, participants will be able to:
- Conduct end-to-end LCA and environmental impact assessments.
- Predict carbon emissions and identify high-impact lifecycle stages using AI.
- Develop interactive dashboards for sustainability monitoring and reporting.
- Implement AI-assisted decision-making for circular economy and ESG initiatives.
Who Should Attend
- Sustainability professionals and ESG analysts
- Environmental engineers and researchers
- Data scientists focusing on sustainability or energy analytics
- Product designers, policy makers, and academic scholars interested in AI-driven lifecycle assessment