OIP — The Opportunity Intelligence PlatformOIP / Government Intelligence
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
Engineering Design and Systems Engineering -- a Grant (Grant) issued by National Science Foundation.
Objective Government score 67 for grants-gov-306170, 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).
Engineering Design and Systems Engineering
$.detail.opportunityTitle · Field Mapping · 98/100 confidence
306170 / PD-19-072Y
$.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 Engineering Design and Systems Engineering (EDSE) program supports fundamental research that advances design science and/or systems science through the creation of new knowledge about the design of engineered artifacts. Engineered artifacts include, but are not limited to, devices, products, processes, platforms, materials, organizations, systems, and systems of systems. The program focuses on design as a system, in which designers, the artifacts they create, the methods they use to create them, and the environment in which this occurs are all subject to rigorous scientific inquiry, along with the interactions among these elements. The EDSE program strongly encourages proposals that embrace the multidisciplinary nature of design and supports well-defined collaborations of experts in design science and/or systems science with experts in other domains, including (but not limited to) the social, behavioral, computational, and natural (biological and physical) sciences. Competitive proposals will be firmly grounded in theory, will demonstrate the potential of the proposed work to improve design, and will include a plan to rigorously assess the performance and effectiveness of the proposed research methods across all domains involved. In particular, the EDSE program supports fundamental contributions in areas that include but are not limited to design representation; design optimization; design validation; mechanism design; robotics and intelligent system design; design of engineered materials systems; design cognition; design collaboration; data science and artificial intelligence in design; design in under-resourced communities; immersive design; and design at extreme scales and in extreme environments. Prospective investigators are encouraged to discuss their research ideas with the Program Director in advance of proposal preparation and submission.
$.detail.synopsis.synopsisDesc · Field Mapping · 94/100 confidence
2018-06-12T04:00:00.000Z
Official source materials control eligibility, deadlines, amendments, attachments, and funding terms.
Open official source$.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
$.detail.synopsis · Field Mapping · 84/100 confidence
2024-02-24T05:01:23.000Z
$.detail.synopsis.lastUpdatedDate · Field Mapping · 88/100 confidence