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RFP #1 closed 2026-03-08. RFP #2 (EDU AI) full proposal due late July 2026 per k12-ai-infrastructure.org/loi-1/. Program is multi-cycle over 3 years.
The K-12 AI Infrastructure Program is a grant from Digital Promise and its partners that funds the development of open-license public goods—including datasets, benchmarks, and models—designed to support AI applications in K-12 education. The program awards grants ranging from $50,000 to $250,000 for project periods of 6 to 12 months.
This funding cycle focuses on two tracks: Track 1 for proof-of-concept projects and Track 2 for enhancing existing assets, with a particular emphasis on enabling strong formative assessment practices through AI. Proposals should operationalize learning science constructs and center populations furthest from opportunity through Targeted Universalism.
Core partners include Learning Data Insights, DrivenData, Georgetown University's Massive Data Institute, and Catalyst at Penn GSE. The application deadline was March 8, 2026.
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Apply Now for the K-12 AI Infrastructure Program’s First Grant Cycle – Digital Promise Apply Now for the K-12 AI Infrastructure Program’s First Grant Cycle February 4, 2026 | By Digital Promise Digital Promise is pleased to launch the first request for proposals of the new K-12 AI Infrastructure Program .
This program invites projects developing public goods—including datasets, benchmarks, and models—designed to support multiple applications of AI in K-12 education. By creating modular open-license public goods, we aim to lower the barrier for all developers to create high-quality, valid, and fair AI products that serve every student.
The vision of the initial RFP is to produce public goods that will be widely adopted and will improve how AI can enable strong formative assessment practices. We are seeking high-quality proposals that operationalize learning science constructs, center populations furthest from opportunity through Targeted Universalism, and directly support educators.
This funding cycle supports two tracks: Track 1 for proof-of-concept projects and Track 2 for enhancing existing assets. The program will award grants between $50,000 to $250,000 for a 6-12 month period of performance. The application is now open and will close on Sunday, March 8, 2026 at midnight Pacific Standard Time.
“We are building the shared technical infrastructure needed to develop learning science-based AI approaches,” said Jeremy Roschelle, Director of the Infrastructure Program. “Our vision for this work was shaped by input from educators, developers, and researchers through our request for information and market research.
While the learning sciences have firmly established that well-implemented formative assessment can have powerful impacts on learning, formative assessment can be difficult to implement. By making public goods freely available to all educational products, we aim to enable state-of-the-art formative assessment practices across the board.
” The K-12 AI Infrastructure Program , a multi-year initiative led by global education nonprofit Digital Promise, aims to bridge the gap between the scientific principles of teaching and learning and the growing potential of artificial intelligence. Core partners include Learning Data Insights, DrivenData, Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE.
“We’re seeing huge energy among innovative developers to use AI as they incorporate adaptive formative assessment in their products and services,” said John Gamba, Director of Innovative Programs at Penn GSE.
“We see companies participating in this project in two ways; first, by responding to the RFP and proposing innovative datasets, models or benchmarks for public good, and second, by incorporating the resulting public goods into their development work going forward. ” Want to stay up-to-date with the K-12 AI Infrastructure Program?
Find more resources here: Register for RFP Informational Sessions: Info Session: Learn more about the K-12 AI Infrastructure Program’s First Grant Cycle : Mon. , Feb. 9 at 4 p.
m. ET/1 p. m.
PT Targeted Universalism Office Hour: Tues. , Feb. 17 at 5 p.
m. ET/2 p. m.
PT Public Good/Technical Office Hour Registration: Mon. , Feb. 23 at 3 p.
m. ET/12 p. m.
PT Learning Sciences Research Learning Sciences Research Artificial Intelligence Research Breaking Down Silos Between Education and Employment: How Micro-credentials Bridge the Skills Gap How Do We Center Learners in the Age of AI? By Andrew Vollavanh and Sierra Noakes Digital Promise at AERA 2026 New Report: Exploring Outcomes Based Contracting for EdTech By Sierra Noakes and Andrew Vollavanh We want to hear from you!
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Scoring criteria used to review proposals for this grant.
Based on current listing details, eligibility includes: Projects developing public goods (datasets, benchmarks, models) for K-12 AI education. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $50,000 - $250,000 Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is March 8, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Improving Undergraduate STEM Education: Education & Human Resources (IUSE: EHR) Program is sponsored by National Science Foundation (NSF). This program promotes novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for undergraduate students. It supports projects that bring recent advances in STEM knowledge into undergraduate education, adapt, improve, and incorporate evidence-based practices, and lay the groundwork for institutional improvement in STEM education. Professional development for instructors to ensure adoption of new and effective pedagogical techniques is a potential topic of interest.
The National Leadership Grants for Libraries Program (NLG-L) supports projects that address critical needs of the library and archives fields and have the potential to advance practice and strengthen library and archival services for the American public. Successful proposals will generate results such as new models, tools, research findings, services, practices, and/or alliances that can be widely used, adapted, scaled, or replicated to extend and leverage the benefits of federal investment. Applications to IMLS should both advance knowledge and understanding and ensure that the federal investment made generates benefits to society. Specifically, the goals for this program are to generate projects of far-reaching impact that: • Build the workforce and institutional capacity for managing the national information infrastructure and serving the information and education needs of the public. • Build the capacity of libraries and archives to lead and contribute to efforts that improve community well-being and strengthen civic engagement. • Improve the ability of libraries and archives to provide broad access to and use of information and collections with emphasis on collaboration to avoid duplication and maximize reach. • Strengthen the ability of libraries to provide services to affected communities in the event of an emergency or disaster. • Strengthen the ability of libraries, archives, and museums to work collaboratively for the benefit of the communities they serve. Throughout its work, IMLS places importance on diversity, equity, and inclusion. This may be reflected in an IMLS-funded project in a wide range of ways, including efforts to serve individuals of diverse geographic, cultural, and socioeconomic backgrounds; individuals with disabilities; individuals with limited functional literacy or information skills; individuals having difficulty using a library or museum; and underserved urban and rural communities, including children from families with incomes below the poverty line. Application Process: The application process for the NLG-L program has two phases; applicants must begin by applying for Phase I. For Phase I, all applicants must submit Preliminary Proposals by the September 20th deadline listed for this Notice of Funding Opportunity. For Phase II, only selected applicants will be invited to submit Full Proposals, and only those Invited Full Proposals will be considered for funding. Invited Full Proposals will be due March 20, 2024. Funding Opportunity Number: NLG-LIBRARIES-FY24. Assistance Listing: 45.312. Funding Instrument: G. Category: AR,HU. Award Amount: $50K – $1M per award.