This grant, offered by the Operations Engineering program, is for supporting fundamental research into advanced analytical methods aimed at improving operations within complex decision-driven environments. It encourages methodological research in areas like optimization, data science, and simulation, provided it is strongly motivated by high-impact engineering applications. Priority application domains include commercial enterprises (e.g., manufacturing, services), the public sector (e.g., public safety), and public/private partnerships such as healthcare and energy. The program particularly values cross-disciplinary proposals that combine quantitative analysis with application-specific expertise to address systemic societal or technological problems in new and emerging domains.
Opportunity ID: 359415
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PD-16-006Y |
| Funding Opportunity Title: | Operations Engineering |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 47.041 — Engineering |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jun 06, 2025 |
| Last Updated Date: | Jun 06, 2025 |
| Original Closing Date for Applications: | – Opportunity is Archived |
| Current Closing Date for Applications: | – Opportunity is Archived |
| Archive Date: | Jun 07, 2025 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| Description: | The Operations Engineering (OE) program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. Analytical methods include, but are not limited to, deterministic and stochastic modeling, optimization, decision and risk analysis, data science, and simulation. Methodological research is highly encouraged but must be motivated by problems that have potential for high impact in engineering applications. Application domains of particular interest to the program arise in commercial enterprises (e.g., production/manufacturing systems and distribution of goods, delivery of services), the public sector/government (e.g., public safety and security), and public/private partnerships (e.g., health care, environment and energy). The program also welcomes operations research in new and emerging domains and addressing systemic societal or technological problems. The OE program particularly values cross-disciplinary proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context. Proposals for methodological research that are not strongly motivated by high-potential engineering applications are not appropriate for this program. |
| Link to Additional Information: | NSF Program Desccription PD-16-006Y |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Version History
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