In 2025, the Learn & Work Ecosystem Library will use 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.
Examples of Maps Resulting from Initiative Search
Example Prototype Map 1: Quality and In-Demand Non-Degree Credentials Framework – Colorado
Example Prototype Map 2: Microcredentials Pilot in Higher Education — Australian Government Department of Education
Example Prototype Map 3: SkillsFWD
Example of Map Resulting from Key Component Search
For the ecosystem to function effectively, all parts of the system must be connected and coordinated.