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"K-12 AI Infrastructure Program Formative Assessment RFP for Public Goods Datasets Benchmarks and Models in K-12 Education" is currently closed and not accepting applications.
The K-12 AI Infrastructure Program, a $26 million four-year initiative led by Digital Promise with Catalyst @ Penn GSE, Learning Data Insights, DrivenData, and Georgetown's Massive Data Institute, funds the development of public goods — datasets, benchmarks, and models — that enable safe, effective, and equitable AI tools for K-12 teaching and learning.
RFP #1 focuses specifically on AI-enabled formative assessment and offers two tracks: Track 1 supports proof-of-concept prototypes with innovative approaches, while Track 2 enhances existing assets into broadly usable public resources. All public goods must be released under CC-BY-4. 0 or Apache 2.
0 licenses without usage restrictions, with awards beginning June 1, 2026. The program emphasizes targeted universalism for underserved learner populations, learning sciences grounding, and direct support for educators.
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Or search similar grants →According to the current listing, eligibility includes: U.S.-based applicants only, including edtech companies, for-profit organizations, nonprofits, and school districts. One application per lead organization (or one per department for universities and organizations with more than 2,000 staff). Partnerships among industry, education, and research organizations are encouraged. Confirm the full requirements in the official notice before applying.
The current listing shows per-project awards range from $50,000 to $250,000 USD over a 6 to 12 month performance period (anticipated 4-8 awards under RFP #1). Part of a broader $26,000,000 USD initiative funded over four years to build openly shared datasets, models, and digital resources for K-12 AI education. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was March 9, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
K-12 AI Infrastructure Program Formative Assessment RFP for Public Goods Datasets Benchmarks and Models in K-12 Education is funded by Digital Promise (with Catalyst @ Penn GSE, Learning Data Insights, DrivenData, and the Massive Data Institute at Georgetown University). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Schmidt Sciences' AI Impact on Jobs program supports rigorous interdisciplinary research on how generative AI and AI agents are reshaping employment, occupational tasks, wages, productivity, and labor markets. Funded scope includes empirical measurement of AI adoption across industries and occupations, task-level analyses of AI capabilities and displacement, longitudinal studies of worker outcomes, AI's effects on inequality and labor market polarization, evaluation of reskilling and transition programs, AI's role in entrepreneurship and small business productivity, and policy-relevant work on social safety nets and labor regulation in an AI economy.
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