In 2024, the Learn & Work Ecosystem Library is using relational maps to complement its narrative descriptions of key searchable artifacts, such as Key Components of the learn-and-work ecosystem, Topics, Initiatives, and Organizations. The maps are developed by integrating manual data tagging with inferred AI-driven relations. This work is performed under an open licensing agreement that allows the Library to train and continuously refine the AI model.

The relational maps at the Library are depicted at the end of a narrative artifact. The map depicts how a particular Initiative is related to various Organizations working in that space — is related to Glossary Terms — is related to other Initiatives — and is related to other Topics. Live links to the items on the map are provided.

Our map design is evolving and future versions may vary in appearance.

Version 1 prototype relational maps include the following: