Operations Engineering (OE)

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 22-1), is effective for proposals submitted, or due, on or after October 4, 2021. Please be advised that, depending on the specified due date, the guidelines contained in NSF 22-1 may apply to proposals submitted in response to this funding opportunity.

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.

Program Contacts

Georgia-Ann Klutke
gaklutke@nsf.gov (703) 292-2443 ENG/CMMI

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