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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:
Trimmed here, the full scope, expected outcomes and award criteria are on the official topic page ↗.
| Item | Estimate | Note |
|---|---|---|
| Drafting effort | 3–4 weeks | single submission |
| Time to first payment | 6–9 months | cut-off → evaluation → grant agreement |
These are Bemzu's estimates from the call's structure (the number of stages and whether a consortium is required) not figures published by the Commission. Only the co-financing share is read from the call itself.
Eight questions, no account, nothing sent anywhere. You will know which of the 1267 open calls you can actually enter before you finish your coffee.
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