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U.S. National Institutes of Health·United States of America

BRAIN Initiative Cell Atlas Network (BICAN): Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE)

Closes 9/30/2026$1M – $4MGrants Notice
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Description

The National Institute of Mental Health (NIMH) intends to publish a notice of funding opportunity for the BRAIN Initiative Cell Atlas Network (BICAN) Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE). The overall goals of CUBIE are to enable the exploration of large-scale brain cell atlas data and knowledge, and ensure research rigor and data reproducibility. The project aims to analyze and interpret all existing brain cell census/atlas data, enhance statistical power, and foster the formation of a brain cell atlas ecosystem by leveraging recent Artificial Intelligence/Machine Learning (AI/ML) advancements. • The project will focus on biostatistics, informatics, and engagement. • The project will collaborate with the broader research community. • The project will ensure research rigor and data reproducibility by making the data Findable, Accessible, Interoperable, and Reusable (FAIR). • The project will foster the formation of a brain cell atlas ecosystem. • The project will leverage recent Artificial Intelligence/Machine Learning (AI/ML) advancements.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

[email protected]

Key dates

Opened
3/11/2026
Closes
9/30/2026
Projected award
7/1/2027
Duration
2 years

Last updated

Details

Type
Grants Notice
Industry
Healthcare and Medical Services
NAICS
541710
Solicitation №
RFA-MH-27-120

Budget estimate

$1,000,000 – $4,000,000

The budget for this grant is not explicitly stated, but based on the project's goals and the fact that it is a renewal of a previous grant, it is likely that the budget will be in the range of $500,000 to $2 million per year, considering the funding for a 2-year period. The actual budget will depend on the specific requirements of the project and the number of awards granted. Factors that may influence the likely payment range include the scope of the project, the number of participants, and the complexity of the research.

AI estimate from the solicitation

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