Summary
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This three-day workshop offers a comprehensive introduction to the Brightway 2.5 framework and its extension, Edges, for conducting regionalised and flexible LCIA. Participants will engage in both theoretical sessions and practical exercises using open-source Python tools and Jupyter notebooks. The course emphasizes building and analyzing LCA models, managing uncertainty, and visualizing results. The latter part of the workshop will delve into advanced applications, including inventory flow assessment and scenario-based LCIA. All course materials, including code examples and datasets, will be available on GitHub for ongoing learning.
Learning Outcomes
Participants will gain the ability to:
- Understand Brightway’s architecture and data flow.
- Build and analyze complete LCA systems in Python.
- Perform uncertainty and sensitivity analyses.
- Handle data linking and exchange.
- Use Edges for spatially resolved LCIA and scenario-based assessments.
Prerequisites
Participants should have a bachelor's degree or equivalent, familiarity with LCA principles, and basic Python skills. A laptop with the necessary software installed is required.
Pricing
The course fee is €3600 for professionals, €1800 for university staff, and €900 for students, with discounts available for multiple participants from the same institution.
Registration
Interested individuals should register by July 16, 2026, via email at [email protected].
