Project Details
Description
This self-funded research project investigates the integration of Artificial Intelligence (AI) into the typical workflow of Life Cycle Assessment (LCA) studies. The objectives are to enhance the LCA capabilities and automatize LCA by use of large language models as well as other advanced data pipeline and management techniques. The project focus is then on strong validation of the AI.-integrated LCA workflow so that the result can be trusted and are highly accurate. Project members are actively applying for funding to be able to support the project and achieve the critical mass sufficient to make a breakthrough.
Layman's description
The idea is to use AI to support LCA
| Acronym | ecomAInd |
|---|---|
| Status | Active |
| Effective start/end date | 01/05/2025 → … |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production
Keywords
- Artificial Intelligence
- Life Cycle Assessment
- Graph
- Retrieval-augmented generation (RAG)
- Large Language Model
- Embedding
- Sustainability
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Code: Utilizing LLMs (Large Language Models) to manage Ecoinvent database
An, N., Thomsen, L. A. & Pizzol, M., Oct 2025.Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review
Open Access -
Generative AI in Life Cycle Assessment (LCA)
Thomsen, L. A., An, N. & Pizzol, M., Nov 2025.Research output: Contribution to conference without publisher/journal › Poster › Research › peer-review
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