Collaborative Research in Computational Neuroscience

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Title:  

Collaborative Research in Computational Neuroscience

Agency:  

U.S. National Science Foundation

State:  

United States of America

NAICS Code:  

541710

Industry:  

Education

Solicitation Type:  

Grants Notice

Solicitation ID:  

24-510

Open Date:  

12/9/2023

Close Date:  

12/17/2025

Last Updated:  

Description:
The U.S. National Science Foundation is seeking proposals for collaborative research in computational neuroscience. The foundation will support two classes of proposals: research proposals describing collaborative research projects and data sharing proposals to support sharing of data and other resources. Domestic and international projects will be considered, including proposals seeking parallel international funding. The foundation will coordinate and manage the review of proposals jointly with participating domestic and foreign funding organizations. Key aspects of the proposal include: • The proposal should describe a collaborative research project or a data sharing proposal. • The proposal should be submitted by a U.S.-based organization, including for-profit and non-profit organizations, institutions of higher education, and U.S. Department of Energy National Laboratories. • The proposal should be submitted electronically through the NSF website. • The proposal should include a detailed budget and a description of the proposed research or data sharing activity.
Attached Files:

Please visit the bid source via the “Link to Bid Source” button below for documentation.

Contact Information:

U.S. National Science Foundation

grantsgovsupport@nsf.gov

(703) 292-4203

Budget Estimate (AI):

$100,000 – $1,000,000

The estimated funding for this opportunity is $30,000,000, and the number of awards is expected to be around 30. The budget amount for each award is likely to be in the range of $100,000 to $1,000,000, depending on the scope and complexity of the proposed research or data sharing activity. The factors that may influence the likely payment range include the number of proposals received, the quality of the proposals, and the availability of funds.

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