CAMEL for K-12 funds interdisciplinary research networks to create valuable math education datasets and build collaborative platforms to advance K-12 math learning using science, technology, and educational best practices.
Funder: U.S. National Science Foundation
Due Dates: January 9, 2026 (Phase I LOI) | March 11, 2026 (Phase I full proposal) | October 5, 2076 (Phase II closing; proposals accepted anytime)
Funding Amounts: $1,000,000–$1,500,000 per award for up to three years; $9,000,000 total program funding
Summary: CAMEL supports interdisciplinary research networks and shared infrastructure to advance K–12 mathematics learning through high-value datasets, education practice, and data science.
Key Information: Phase II is open only to Phase I awardees; each investigator may serve as PI or co-PI on only one Phase I proposal.
CAMEL is an NSF initiative administered through the Directorate for Social, Behavioral and Economic Sciences, in partnership with the Walton Family Foundation and other philanthropic groups. It connects the interdisciplinary science of learning with education practice, data science, AI, and technology to address important problems in K–12 mathematics learning. The program emphasizes two-way exchange: research informs classroom strategies, while practitioners’ experiences inform theory and new research directions.
Phase I establishes Collaborative Networks that create new high-value datasets or increase the value of existing datasets. Networks bring together learning-science researchers, education practitioners, and data scientists. Phase II establishes a collaboratory and National Coordinator to connect these networks, coordinate resources, assess outcomes, and build capacity through data-science training, community-building, and sustained collaboration.