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Find similar grantsCollaboratory to Advance Mathematics Education and Learning (CAMEL) is sponsored by National Science Foundation (NSF SBE). This program aims to transform K-12 mathematics learning and education by advancing interdisciplinary collaboration that brings together artificial intelligence, the science of learning, education practice, and data science.
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Collaboratory to Advance Mathematics Education and Learning for K-12 | NSF - U.S. National Science Foundation Collaboratory to Advance Mathematics Education and Learning for K-12 Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports the creation of cross-disciplinary research networks and a shared national hub to generate and share high-value, AI-ready datasets that advance K–12 math learning by better connecting the science of learning, classroom practice and data science.
Supports the creation of cross-disciplinary research networks and a shared national hub to generate and share high-value, AI-ready datasets that advance K–12 math learning by better connecting the science of learning, classroom practice and data science.
The Collaboratory to Advance Mathematics Education and Learning (CAMEL) for K-12 initiative aims to advance mathematics learning and education through purposeful collaboration that draws on the interdisciplinary Science of Learning (including neuroscience; cognitive, developmental, and social sciences; computer science; machine learning; engineering; and education research), deep experiences in education practice and teaching, and innovations in the use of data science, AI and technology.
Through an agreement with philanthropic partners, including the Walton Family Foundation (WFF), CAMEL consists of two phases. Phase I invites proposals for the creation of new research networks to support the generation of high value datasets that aim to advance math learning and education. These research networks must include researchers who study the basic science of learning, education practitioners, and data scientists.
The high value dataset may come from either generating a new dataset or by increasing the value of an existing dataset. Phase II, open only to awardees of Phase I, establishes a “collaboratory,” which is a socio-technological platform that prioritizes community-building and capacity-building to sustain collaborative efforts to advance math learning and education in K-12.
Expanding Participation in STEM, NSF Priorities and Gold Standard Science: NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promote NSF's mission .
Proposers should review the list of NSF priorities and are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence to appropriate tenets of Gold Standard Science in proposals, as appropriate for the field of science and research modality. The contact information below is accurate at the time of publishing.
See the program page linked at the top of this solicitation for up-to-date contacts, as they may have changed. General inquiries regarding this program should be made to: Elizabeth F. Chua, telephone: (703) 292-8700, email: CAMEL@nsf.
gov Anna V. Fisher, telephone: (703) 292-8700, email: CAMEL@nsf. gov Margret Hjalmarson, telephone: (703) 292-8700, email: CAMEL@nsf.
gov January 6, 2026 - Webinar: Collaboratory to Advance Mathematics Education and… Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Social, Behavioral and Economic Sciences (SBE)
According to the current listing, eligibility includes: Research networks including experts in the basic science of learning, education practitioners, and data scientists. Phase II is open only to Phase I awardees. Confirm the full requirements in the official notice before applying.
Collaboratory to Advance Mathematics Education and Learning (CAMEL) is funded by National Science Foundation (NSF SBE). 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.
Educational Technology, Media, and Materials for Individuals with Disabilities Program (Stepping-up Technology Implementation competition) is sponsored by U.S. Department of Education. This program aims to improve results for students with disabilities by promoting the development, demonstration, and use of technology; supporting educational activities of value in the classroom for students with disabilities; providing captioning and video description; and ens…
The Robotics Grant Program is a grant from the Alabama State Department of Education (ALSDE) that funds school-based robotics programs for elementary, middle, and high school students. Awarded through a competitive application process, the program provides up to $3,500 to eligible local education agencies (LEAs) in Alabama. Applicants must be public school systems submitting on behalf of schools with K–12 students. The grant supports the purchase of robotics equipment and program development aligned with AMSTI guidelines. Applications are submitted online through the AMSTI Robotics Grant portal. The Fiscal Year 2026 application deadline was September 30, 2025. Questions should be directed to robotics@amsti.org. The program is managed by the Alabama State Department of Education under State Superintendent Eric G. Mackey.
The FY2027 budget proposes eliminating NSF's Social, Behavioral, and Economic Sciences directorate entirely. With only 613 grants funded this year, social scientists face an existential funding crisis.
Read articleOn July 22, 2026, NSF announced $83 million in Integrated Data Systems and Services awards and launched a companion program, Unlocking Dataset Value for AI-Enabled Scientific Discovery, offering up to $100 million in $2M-$5M awards. Together they fund the least glamorous and most decisive part of the AI-for-science stack: the data. Here is what each program funds, who won the first round, how the two fit the Genesis Mission, and the concrete strategy for research teams that missed the first cohort.
Read articleNSF's Growing Convergence Research program (NSF 24-527) offers up to $1.2 million in a two-year Phase I and up to $2.4 million more in a three-year Phase II — $3.6 million across five years — with a $16 million pool funding just 6 to 10 projects and a February 8, 2027 deadline. But GCR is not a bigger version of an interdisciplinary grant. It funds a specific team architecture, and the proposals that lose are usually the ones that mistake multidisciplinary collaboration for convergence. Here is what NSF actually means by convergence, how the two-phase gate works, and how to build a team that survives the Phase I review.
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