Today’s learn-to-work ecosystem is fragmented and hard to navigate. Millions of workers, especially those who have built skills outside of traditional degree programs, struggle to show what they can do in ways employers trust and understand.
Education and workforce systems often overlook skills gained through non-degree credentials, short-term training, on-the-job learning, and military and community-based experiences. Data about these experiences and credentials is scattered, incomplete, or locked in systems that don’t talk to each other.
Leaders across this field have already built significant tools for the skills ecosystem: richer credentials, shared skills frameworks, common data formats, learning and employment record pilots, and early skills‑based hiring practices. What is missing is an operating model that shows how these elements connect across institutions and platforms in ways STARs can actually utilize to gain access to employment.
This initiative is about:
Turning fragmented tools and pilots into an end‑to‑end skills ecosystem that works in real contexts.
Making skills and credential data flow across systems so STARs can see options, prove skills, and advance.
Generating proof points that others can replicate and scale.
What: Advancing Workforce Mobility RFP for credential transparency + skills validation.
Who: We welcome applications from U.S.-based nonprofit or governmental organizations that are ready to advance credential transparency.
Total funding: Estimated: 7-12 awards, across multiple tiers, subject to availability of funds and quality of proposals.
Anticipated Grant term: March 30, 2026 – October 18, 2027.
Target dates:
Anticipated Release: January 8, 2026
Target Start Date: March 30, 2026
Full criteria and application instructions will be available only at release.
A U.S.-based organization with a .gov domain, or
A 501(c) nonprofit organization, including 501(c)(3), 501(c)(4), 501(c)(5), or 501(c)(6)
You must also be able to:
Receive and manage grant funds
Center STARs in your project design
Participate in the learning cohort and contribute to shared field insights