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.
Participate in TRACE AI’s stakeholder survey
We invite you to participate in a stakeholder survey exploring the needs of key stakeholders in relation to AI-based tools for chemical information and assessment.
We’ve created tailored surveys for seven different stakeholder groups to ensure questions are relevant to your professional experience. Below you find a short description of the survey categories. Choose the survey that best matches the type of organisation that you work for or the type of role that you have.
The survey takes approximately 15 minutes. Participation is voluntary, responses are anonymous and will only be reported in aggregate form for research purposes.
Surveys to choose from:
Public sector and regulators: https://forms.office.com/e/CSrbfn2Y2Y
Producers, formulators and suppliers: https://forms.office.com/e/Upz5CF1tEW
Consultants, service providers, ecolabels, certifiers and testing services: https://forms.office.com/e/3aRGdGK9ug
Downstream users, brand owners, retailers, recyclers and trade associations: https://forms.office.com/e/RV9nhPDAjU
IT, software and digital platform providers: https://forms.office.com/e/WfzspL2rgS
Civil society, NGOs and consumer organisations: https://forms.office.com/e/PUr7HxS4Nc
Academia and research institutes: https://forms.office.com/e/biVuHibWun
Not sure which survey to take?
Choose the survey version that best reflects your primary professional role, or contact us at vera.frankenberg@gu.se
Interactive online workshop within TRACE AI
Title: Exploring AI’s potential to improve chemical safety
Date: June 1, 14:00–15:30 CET
🌐 Online
How can AI contribute to safer use of chemicals? And what are the current needs among different stakeholders? In this workshop, we will co-explore the intersection between what AI can enable and what users actually need.
Objectives of TRACE AI
- 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