Transparent and Accessible Information for a Chemically Safe Circular Economy (TRACE AI)

Research Project, 2025 – 2027

A non-toxic circular economy requires access to structured and reliable chemical information. Many hazardous substances remain poorly assessed, and chemical data are often fragmented across regulatory, industrial, and scientific sources. At the same time, emerging EU legislation imposes new demands on transparency and traceability. The TRACE initiative explores how artificial intelligence (AI) and data-driven methods can bridge critical knowledge gaps and strengthen chemical risk assessments. We will identify stakeholder needs and outline AI-based solutions for data extraction, hazard prediction, and sustainable chemical design. Particular attention is given to early-warning systems, grouping strategies, regulatory applications and policy instruments under frameworks such as REACH and the Ecodesign for Sustainable Products Regulation (ESPR). The project brings together leading Swedish experts in data science, (eco)toxicology, economics, and policy engagement and will produce an agenda and roadmap for a full-scale research programme. Case studies will illustrate technical possibilities and assess stakeholder relevance in areas such as plastics, textiles, and food-contact materials. The project also considers the potential application of AI-based tools in low- and middle-income countries and for global policy processes.