AI-Powered Life Cycle Assessment and Carbon Intelligence

The aim of the AI-Powered Life Cycle Assessment and Carbon Intelligence workshop is to help participants understand and apply practical methods for assessing carbon emissions across product and process life cycles using LCA principles, carbon footprint modeling, AI-assisted data analysis, and dashboard-based sustainability decision-making.

The workshop focuses on enabling participants to calculate emissions, analyze sustainability datasets, identify carbon hotspots, compare reduction scenarios, and create simple carbon intelligence dashboards using tools such as Excel, OpenLCA, Python, Google Colab, Power BI, Google Sheets, and introductory Brightway2.

The objective of this workshop is to provide participants with practical knowledge of AI-assisted life cycle assessment and carbon footprint analysis. The workshop aims to help learners understand how activity data, emission factors, Scope 1, Scope 2, and Scope 3 emissions are used in carbon modeling, and how AI, Python, OpenLCA, and dashboard tools can support emission analysis, hotspot detection, scenario comparison, and sustainability reporting.

• Industry professionals, researchers, and sustainability analysts involved in environmental impact assessment or corporate ESG initiatives.
• PhD scholars, postgraduate students, and academics working on sustainability, energy, environmental science, or industrial process optimization.
• Data scientists, AI practitioners, and engineers interested in applying AI for carbon footprint analysis and life cycle assessment.
• Professionals and students looking to gain hands-on experience with AI-assisted LCA tools, carbon modeling, and sustainability dashboards.
• No prior advanced AI or LCA expertise is required, but a basic understanding of Excel, Python, or data handling will be helpful.

• Understand the fundamentals of Life Cycle Assessment and carbon footprint modeling.
• Identify product life cycle stages such as raw materials, manufacturing, transport, use phase, and end-of-life.
• Explain the role of activity data, emission factors, carbon intensity, and Scope 1, Scope 2, and Scope 3 emissions.
• Build a basic carbon footprint calculation framework using Excel and Google Sheets.
• Explore LCA workflows using OpenLCA and introductory Brightway2 concepts.
• Clean and organize sustainability, activity, and emission datasets for analysis.