Collaboratory to Advance Mathematics Education and Learning (CAMEL) for K-12
Not specified
Mar 11, 2026
United States
organization
About This Opportunity
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.
Who Can Apply
- Region
- United States
- Residency
- United States
- Project in
- United States
- Applicants
- organization
- Organizations
- academic, nonprofit, tribal
Application Details
Stages
- 1 two_stage
Required documents
Review process
NSF merit review process with ad hoc and/or panel review. Evaluated using Intellectual Merit and Broader Impacts criteria.
Additional benefits
- networking
- training
Restrictions
- reporting_requirements
Post-award obligations
- final_report
- acknowledge_funder
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
This opportunity was automatically extracted from an external source using AI. Details such as amounts, deadlines, and eligibility may be incomplete or inaccurate.
Always verify on the official sourceKey Information
- Award Amount
- Not specified
- Application Deadline
-
March 11, 2026 at 23:59 UTCDue in 9 days
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