The Operations Research (OR) Program offers grants for fundamental research to develop innovative mathematical models, analysis, and algorithms. This initiative aims to foster optimal decision-making for designing and operating complex manufacturing, service, and other systems. The grant encompasses traditional OR areas like discrete and continuous optimization, and stochastic modeling. Additionally, it supports new research thrusts including simulation optimization and self-optimizing systems. These systems observe, learn, and adapt to changing environments, enhancing operational efficiency and system resilience. This grant is for advancing OR foundations with practical applications.
Opportunity ID: 359535
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | PD-10-5514 |
Funding Opportunity Title: | Operations Research |
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 OR program supports fundamental research leading to the creation of innovative mathematical models, analysis, and algorithms for optimal or near optimal decision-making, applicable to the design and operation of manufacturing, service, and other complex systems. In addition to the traditional areas of Operations Research which includes discrete and continuous optimization as well as stochastic modeling and analysis, new research thrusts include simulation optimization and self-optimizing systems that can observe, learn, and adapt to changing environments. |
Link to Additional Information: | NSF Program Desccription PD-10-5514 |
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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