🌱 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
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Bridge sustainability science and intelligent analytics
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Train participants to build digital decision-making tools for green innovation
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Enable prediction and visualization of environmental impact across a product’s lifecycle
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Promote data transparency and traceability in sustainability reporting
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Inspire innovation in smart tools for circular economy planning
Workshop Structure
📅 Day 1 – Fundamentals of Life Cycle Assessment (LCA)
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Introduction to LCA: Purpose and Global Relevance
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Phases of LCA: Goal & Scope, Inventory, Impact Assessment, Interpretation
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Standards and frameworks: ISO 14040/44, GHG Protocol
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Types of LCA: Attributional vs. Consequential
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Environmental impact categories: GWP, eutrophication, toxicity, etc.
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Data collection challenges and quality indicators
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Overview of LCA software tools: OpenLCA, SimaPro, Brightway2
📅 Day 2 – AI Techniques in LCA Modeling
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Role of AI/ML in improving LCA workflows
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Predictive modeling for life cycle inventory (LCI) data gaps
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Clustering and classification for material/process grouping
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AI-assisted scenario analysis and sensitivity checks
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Feature engineering from supply chain and sensor data
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Case examples: AI-enabled rapid LCA for products (e.g., packaging, electronics)
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Ethical and interpretability considerations for AI in environmental decision-making
📅 Day 3 – Dashboard Design and Visualization for LCA
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Introduction to data dashboards: role in decision-making and reporting
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Tools overview: Power BI, Tableau, Dash (Plotly), Streamlit
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Connecting LCA datasets to visualization tools (CSV, APIs, JSON formats)
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Designing interactive dashboards: filters, metrics, maps
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Custom KPIs: carbon footprint, water usage, toxicity index
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Automating LCA reports using AI and dashboard frameworks
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Hands-on case: Building a real-time AI-powered LCA dashboard prototype
Who Should Enrol?
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Sustainability professionals and environmental consultants
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Engineers and product designers in manufacturing, energy, and construction
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AI/ML practitioners interested in sustainability applications
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Researchers in environmental science, LCA, and circular economy
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Data analysts and ESG officers
Important Dates
Registration Ends
01/24/2026
IST 4 PM
Workshop Dates
01/24/2026 – 01/26/2026
IST 5:30 PM
Workshop Outcomes
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Gain working knowledge of LCA frameworks and best practices
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Automate LCA workflows using AI and ML
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Design dashboards for environmental performance monitoring
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Translate complex data into clear, actionable sustainability metrics
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Receive international certification in AI-enabled LCA systems
Fee Structure
Student
₹2499 | $70
Ph.D. Scholar / Researcher
₹3498 | $80
Academician / Faculty
₹4499 | $90
Industry Professional
₹6499 | $110
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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