🌱 AI-Powered Life Cycle Assessment Dashboards
International Workshop on Intelligent Tools for Sustainable Decision-Making
About This Course
AI-Powered Life Cycle Assessment Dashboards is an interdisciplinary international workshop that combines environmental sustainability, data science, and machine learning to create intelligent dashboards for life cycle-based analysis.
Participants will learn the fundamentals of LCA methodology, explore environmental impact datasets (ecoinvent, OpenLCA), and build dashboards powered by AI/ML models to automate material flow assessments, carbon footprint predictions, waste mapping, and more. Using tools such as Python, Streamlit, Power BI, Tableau, and scikit-learn, the workshop provides a hands-on experience in creating responsive, scalable, and actionable LCA visualizations.
Aim
To equip participants with the technical and analytical skills needed to design and deploy AI-enhanced Life Cycle Assessment (LCA) dashboards, enabling data-driven sustainability insights across product systems, industrial processes, and environmental management.
Workshop Objectives
- Bridge sustainability science and intelligent analytics
- Train participants to build digital decision-making tools for green innovation
- Enable prediction and visualization of environmental impact across a product’s lifecycle
- Promote data transparency and traceability in sustainability reporting
- Inspire innovation in smart tools for circular economy planning
Workshop Structure
📅 Day 1 – Fundamentals of Life Cycle Assessment (LCA)
- Introduction to LCA: Purpose and Global Relevance
- Phases of LCA: Goal & Scope, Inventory, Impact Assessment, Interpretation
- Standards and frameworks: ISO 14040/44, GHG Protocol
- Types of LCA: Attributional vs. Consequential
- Environmental impact categories: GWP, eutrophication, toxicity, etc.
- Data collection challenges and quality indicators
- Overview of LCA software tools: OpenLCA, SimaPro, Brightway2
📅 Day 2 – AI Techniques in LCA Modeling
- Role of AI/ML in improving LCA workflows
- Predictive modeling for life cycle inventory (LCI) data gaps
- Clustering and classification for material/process grouping
- AI-assisted scenario analysis and sensitivity checks
- Feature engineering from supply chain and sensor data
- Case examples: AI-enabled rapid LCA for products (e.g., packaging, electronics)
- Ethical and interpretability considerations for AI in environmental decision-making
📅 Day 3 – Dashboard Design and Visualization for LCA
- Introduction to data dashboards: role in decision-making and reporting
- Tools overview: Power BI, Tableau, Dash (Plotly), Streamlit
- Connecting LCA datasets to visualization tools (CSV, APIs, JSON formats)
- Designing interactive dashboards: filters, metrics, maps
- Custom KPIs: carbon footprint, water usage, toxicity index
- Automating LCA reports using AI and dashboard frameworks
- Hands-on case: Building a real-time AI-powered LCA dashboard prototype
Who Should Enrol?
- Sustainability professionals and environmental consultants
- Engineers and product designers in manufacturing, energy, and construction
- AI/ML practitioners interested in sustainability applications
- Researchers in environmental science, LCA, and circular economy
- Data analysts and ESG officers
Important Dates
Registration Ends
04/01/2026
IST 04:00 PM IST
Workshop Dates
04/01/2026 – 04/03/2026
IST 05:30 PM IST
Workshop Outcomes
- Gain working knowledge of LCA frameworks and best practices
- Automate LCA workflows using AI and ML
- Design dashboards for environmental performance monitoring
- Translate complex data into clear, actionable sustainability metrics
- Receive international certification in AI-enabled LCA systems
Meet Your Mentor(s)
Fee Structure
Student
₹2499 | $75
Ph.D. Scholar / Researcher
₹3498 | $85
Academician / Faculty
₹4499 | $95
Industry Professional
₹6499 | $120
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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