Operations Engineering
Title:  

Operations Engineering

Agency:  

U.S. National Science Foundation

State:  

United States of America

NAICS Code:  

541710

Industry:  

Engineering Services

Solicitation Type:  

Grants Notice

Solicitation ID:  

PD-16-006Y

Open Date:  

6/6/2025

Close Date:  

TBD

Last Updated:  

6/7/2025

Description:
The Operations Engineering (OE) program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. The program welcomes proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context, particularly in domains such as commercial enterprises, public sector/government, and public/private partnerships. Key areas of interest include deterministic and stochastic modeling, optimization, decision and risk analysis, data science, and simulation. • The program encourages methodological research motivated by problems with high potential impact in engineering applications. • Proposals should demonstrate a strong connection between the proposed research and potential engineering applications. • The program values cross-disciplinary proposals that combine application-specific expertise with quantitative analysis. • The program is interested in operations research in new and emerging domains, addressing systemic societal or technological problems.
Attached Files:

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

Contact Information:

grantsgovsupport@nsf.gov

(703) 292-4203

Budget Estimate (AI):

$200,000 – $1,000,000

The budget for this grant is not explicitly stated, but based on the program's focus on supporting fundamental research, it is likely that the award amount will be in the range of $200,000 to $1,000,000. This estimate is based on the typical funding ranges for research grants in the engineering and scientific research fields. Factors that may influence the likely payment range include the scope and complexity of the proposed research, the qualifications and experience of the research team, and the availability of funds for the program.

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