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Preparing the stored Government Intelligence discovery view.
OIP / Government Intelligence / Opportunity detail
Source: Stored live-derived Government dataNational Science Foundation
OIP derived this review page from stored live-derived Government Intelligence source records. The official source and issuing agency remain authoritative.
Opportunity Intelligence Platform is an independent service and is not affiliated with or endorsed by the U.S. Government. Official notices, amendments, attachments, eligibility requirements, funding terms, and deadlines remain under source control.
OIP scores and explanations are informational and do not guarantee eligibility, suitability, compliance, contract award, or financial outcome.
No funding amount is disclosed in the stored source fields.
Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
3 warning(s) require review.
Objective score, derived by OIP
Publication decision: Publish with warning
Operations Engineering -- a Grant (Grant) issued by National Science Foundation.
Objective Government score 67 for grants-gov-306167, computed from source evidence and Government scoring configuration.
potential_value (not_applicable): potential_value is structurally not applicable for this Government category.
9 evidence record(s) support this pipeline result.
Next action: Review the official Grants.gov opportunity and follow the listed application package instructions.
95/100 · Ok
evidence_quality scored from source evidence and Government scoring guidance (value kind deterministic_calculation, confidence rank 0).
90/100 · Ok
confidence scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
No numeric value · Not Applicable
potential_value is structurally not applicable for this Government category.
62/100 · Ok
urgency scored from source evidence and Government scoring guidance (value kind deterministic_calculation, confidence rank 0).
56/100 · Ok
difficulty scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
62/100 · Ok
time_required scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
48/100 · Ok
capital_required scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
52/100 · Ok
risk scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
68/100 · Ok
novelty scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
Operations Engineering
$.detail.opportunityTitle · Field Mapping · 98/100 confidence
306167 / PD-19-006Y
$.detail.id · Field Mapping · 99/100 confidence
National Science Foundation
$.detail.synopsis.agencyName · Field Mapping · 97/100 confidence
Grant
$.detail.synopsis.fundingInstruments · Field Mapping · 96/100 confidence
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.
$.detail.synopsis.synopsisDesc · Field Mapping · 94/100 confidence
2018-06-12T04:00:00.000Z
$.detail.synopsis.postingDate · Field Mapping · 96/100 confidence
Applicant types: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
$.detail.synopsis.applicantTypes · Field Mapping · 94/100 confidence
value_not_disclosed
Official source materials control eligibility, deadlines, amendments, attachments, and funding terms.
Open official source$.detail.synopsis · Field Mapping · 84/100 confidence
2024-02-24T04:59:45.000Z
$.detail.synopsis.lastUpdatedDate · Field Mapping · 88/100 confidence