A Searchable Library of 80 Best Practices
At the heart of the platform is a curated collection of 80 best practices, each describing a concrete way artificial intelligence is being used to advance the circular economy — from optimizing metal recovery from industrial waste to federated learning for smarter e-waste sorting. Every entry is distilled from underlying research documents and enriched with structured metadata so you can quickly judge its relevance.
You can search practices by title, description, keywords, authors, or topic, and filter and sort them by impact score, technology readiness level (TRL), country, or year. Each card surfaces an estimated impact score, an innovation and commercial rating, the originating country, and the topic cluster it belongs to.
Organized Into Circular Economy Topic Clusters
To help you see the bigger picture, the platform groups every practice into Circular Economy topic clusters using AI-based text analysis. Rather than scrolling through a flat list, you can explore the field by theme — such as waste sorting and classification, plastic recycling, battery and e-waste recycling, food-waste valorization, or textile and fashion circularity.
More Than a List: Maps, Topics, and Sources
Beyond the browser and the clusters, the platform offers a geographic map view that places practices on the world map, a topics overview, and a source-documents section so you can trace each practice back to the research it was synthesized from. Every claim stays transparent and verifiable.
Try It Yourself
The best-practice platform is open and free to explore. Whether you are looking for inspiration for your own research, scouting potential collaborators, or simply curious about how AI is reshaping the circular economy, it is the fastest way to get an overview of the field.
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