IPPRA / Grant Monitor

2026-09-05
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National Science Foundation Fostering Interdisciplinary Networks to Develop Emergent and Responsive Solutions Foundry

26-507 · U.S. National Science Foundation

education workforce ai data science computing communications Science & Technology R&D

Closes
2026-11-18 · 74 d
Award ceiling
Award floor
Program funding
$8,500,000
Expected awards
Cost sharing
No
Posted
2026-03-23
Instrument
Grant
Characterization · gpt-5.4-mini · 2026-07-07

NSF funds interdisciplinary Planning and Development grants to teams of K-12 educators, technologists, and researchers that co-design and scale evidence-based, technology-enabled solutions for learning and workforce development, including early AI education.

Funds
applied research
University
direct
social behavioral
substantial
physical sciences
minor
engineering
substantial
computational data
central
humanities arts
minor

⚑ Two-phase program: only Planning awardees may submit Development proposals · Leadership team must include at least one K-12 educator, one technologist, and one researcher · Special justification required if funds/support are proposed for an international branch campus of a U.S. IHE

42 / 100 IPPRA team judgment
FITS: Deven Carlson

This is an education/technology co-design and implementation program focused on K-12 learning, AI exposure, and workforce development. The team’s education-policy/evaluation capacity makes it adjacent, but this is not their core school choice/accountability or survey-risk line, so it looks like a plausible collaborator opportunity rather than a primary IPPRA pursuit.

JUDGED AGAINST THE ROSTER'S PUBLICATION DOSSIER · GPT-5.4-MINI · 2026-07-07

Unit fits — one characterization, each unit's own rules

Physical Sciences & Engineering (demo) 90 strong technical depth: central; funds applied research
IPPRA 65 good outside portfolio topics; signature methods: community engaged; social/behavioral work is substantial; funds applied research; capped at 65 (limited social-science role)
Tom Love Innovation Hub 45 partial funds applied research; prototyping/demonstration stage; deep-tech content

Description

The NSF FINDERS FOUNDRY program supports collaboration among K-12 educators, technologists, and researchers to develop innovative solutions to persistent challenges in learning and workforce development. These challenges are identified by K-12 students, families, and educators. The program aims to create and scale evidence-based practices, tools, and technologies that improve learning outcomes and prepare students for a digital, Artificial Intelligence (AI)-driven future.

A key focus is early exposure to AI to build curiosity, understanding, and readiness for future careers. The program encourages partnerships across sectors - schools, universities, industry, government, and nonprofits - to co-design responsive, technology-based solutions.

NSF FINDERS FOUNDRY program includes two phases: Planning and Development. Planning proposals help teams explore one of several focus areas. Only teams awarded Planning grants may submit Development proposals, which support the growth and implementation of promising ideas.

The program aligns with national priorities, including the Executive Order 14277, “Advancing Artificial Intelligence Education for American Youth ” (April 23, 2025), and the CHIPS and Science Act of 2022, Public Law 117-167 , Sections 10381-10383 and 10395.

Eligibility

*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -State and Local Governments -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. -Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List Act of 1994, 25 U.S.C. §§ 5130-5131.

*Who May Serve as PI: <div class="OutlineElement Ltr SCXW250762343 BCX8">

Each NSF FINDERS FOUNDRY leadership team must have at least one member from each of three stakeholder groups: (1) K-12 educators, (2) technologists, and (3) researchers. One of these individuals must act as the Principal Investigator (PI) through an eligible organization described above. Co-PIs andadditionalSenior Personnel, (sub)contractors, consultants, etc., are also allowed.

Unaffiliated individuals are not eligible tosubmitproposals in response to this solicitation.

There are no PI degree requirements (i.e., the PIis not required tohold a Ph.D. nor any other degree).

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Apply

View on Grants.gov → CONTACT: U.S. National Science Foundation <grantsgovsupport@nsf.gov>

Proposal brief SEE AN EXAMPLE →

A one-page internal memo: fit assessment, submission requirements, document scaffold, and next steps dated back from the deadline — tailored to your project idea if you add one.

ONE LLM CALL (~1¢) · CACHED · REQUIRES STAFF KEY

Proposal shell · National Science Foundation conventions SEE AN NSF EXAMPLE →

Funder-faithful document skeletons — National Science Foundation's document set with section headings, page limits, reviewer guidance, and writing prompts; add a project idea to get [DRAFT] starter bullets. Download as .md for Word or Overleaf.

ONE LLM CALL (~2-3¢) · CACHED · SCAFFOLDING, NOT GHOSTWRITING