🌱 AI-Powered Life Cycle Assessment Dashboards

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.

• 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

📅 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

• 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