TRACE AI – Transparent and Accessible Information for a Chemically Safe Circular Economy
The TRACE AI project explores how artificial intelligence can advance a sustainable and chemically safe circular economy by improving access to reliable information about hazardous chemicals. Funded by Formas, the Swedish Research Council for Sustainable Development, the 18-month project is coordinated by the University of Gothenburg through FRAM – Centre for Future Chemical Risk Assessment and Management.
Objectives
- AI for Chemical Information: Explore how AI and data-driven methods can improve the collection, organisation, and interpretation of chemical information.
- Innovation through Machine Learning: Use techniques such as machine learning, natural language processing, and generative models to detect hazardous substances, assess risks, and design safer alternatives.
- Applied Case Studies: Demonstrate how AI-based tools can be applied in real-world decision-making through case studies in sectors such as plastics, textiles, and food-contact materials.
- Global Perspective: Explore how AI solutions can contribute to improved chemical safety in low- and middle-income countries and within global environmental agreements.
Research Team
Our interdisciplinary team brings together expertise in AI, environmental toxicology, life cycle analysis, environmental economics, and chemicals policy from five leading research organisations:
- University of Gothenburg
- Chalmers University of Technology
- Stockholm University
- RISE Research Institutes of Sweden
- ChemSec – The International Chemical Secretariat
Funding
The project is funded by Formas, the Swedish government research council for sustainable development, and runs from Nov 2025 to April 2027.
Further information
For more information please visit our project homepage or contact project leader Daniel.Slunge@gu.se