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Operations Engineering (OE)

Important information about NSF’s implementation of the revised 2 CFR

NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website. These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Supports research on advanced analytical methods that improve operations in complex, decision-driven environments.

Supports research on advanced analytical methods that improve operations in complex, decision-driven environments.

Synopsis

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.

PIs are encouraged to send any program inquiries to both Program Directors.

Program contacts

Georgia-Ann Klutke
gaklutke@nsf.gov (703) 292-2443 ENG/CMMI
Reha M. Uzsoy
ruzsoy@nsf.gov (703) 292-8360 ENG/CMMI

Awards made through this program

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