The Circular TwAIn Wiki: A collaborative knowledge hub for AI and Data Spaces solutions

The Circular TwAIn Wiki: A collaborative knowledge hub for AI and Data Spaces solutions driving circular innovation, reuse, and interoperability.

The Circular TwAIn (CT) wiki serves as the project's living documentation and a valuable reference point for knowledge sharing and collaboration. It offers curated links to a wide range of solutions, models, algorithms, technologies, and resources relevant to AI applications in circularity and Data Space implementations. Data scientists and practitioners can explore these resources to access proven solutions and gain insights into best practices, helping them re-use and adapt successful approaches in their own projects.

This wiki is the product of a joint effort by CT Consortium partners, who contributed to identifying both open-source and proprietary implementations. Using a common reporting template, they collected comprehensive information to describe these reference implementations consistently and clearly. The consortium’s aim was to identify and document AI solutions and implementations for Data Spaces that, while broader in scope, remain aligned with the principles of circularity.

The wiki is organised into two key sections:

a) AI Portfolio of Reference Implementations:
This section presents a curated collection of AI implementations—both open-source and proprietary—that demonstrate relevance to circularity and fall within the scope of the CT project. A reference implementation here is defined as a specific software or technology solution that exemplifies best practices and serves as a model for others. These implementations showcase intended functionality, design, and standards-compliant approaches to particular specifications or frameworks.

b) Solutions for Circularity Data Spaces Implementations:
This section documents solutions that enable organisations to manage and utilise circular data effectively within Data Spaces. These implementations are valuable for businesses, governments, research institutions, and other stakeholders in the Circular Economy. They support a variety of goals, including data exchange and interoperability, supply chain transparency, circular product design and assessment, performance measurement, and innovation in circular business models.

Overall, the wiki aims to provide a clear and authoritative guide for both CT Consortium members and, eventually, external stakeholders. It supports users in understanding how to implement and use relevant technologies within circularity contexts, serving as a benchmark to compare their own efforts, ensure alignment with applicable standards, and make necessary enhancements or optimisations.

Written by: Spiros Kousouris, SUITE5