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 Institutes of Health
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.
Private institutions of higher education; County governments; Small businesses; For profit organizations other than small businesses; Native American tribal governments (Federally recognized); Public and State controlled institutions of higher education; Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education; Independent school districts; City or township governments; Public housing authorities/Indian housing authorities; Native American tribal organizations (other than Federally recognized tribal governments); Special district governments; Others (see text field entitled "Additional Information on Eligibility" for clarification); State governments; Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
2 warning(s) require review.
Objective score, derived by OIP
Publication decision: Publish with warning
Developing novel theory and methods for understanding the genetic architecture of complex human traits (R21 Clinical Trial Not Allowed) -- a Grant (Grant) issued by National Institutes of Health.
Objective Government score 67 for grants-gov-357136, computed from source evidence and Government scoring configuration.
potential_value (not_applicable): potential_value is structurally not applicable for this Government category.
10 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).
Developing novel theory and methods for understanding the genetic architecture of complex human traits (R21 Clinical Trial Not Allowed)
$.detail.opportunityTitle · Field Mapping · 98/100 confidence
357136 / PAR-25-256
$.detail.id · Field Mapping · 99/100 confidence
National Institutes of Health
$.detail.synopsis.agencyName · Field Mapping · 97/100 confidence
Grant
$.detail.synopsis.fundingInstruments · Field Mapping · 96/100 confidence
The goal of this NOFO is to support R21 applications for novel theory and methods development that better delineate how genetic and non-genetic factors contribute to complex trait variation across individuals, families, and populations. Approaches should be interdisciplinary across the natural and social sciences, account for interdependencies across scales of biological, social, and ecological organization, and make extensive use of theory, simulations, and validation using available large-scale datasets
$.detail.synopsis.synopsisDesc · Field Mapping · 94/100 confidence
2024-11-15T05:00:00.000Z
$.detail.synopsis.postingDate · Field Mapping · 96/100 confidence
2027-01-07T00:00:00.000Z
$.searchHit.closeDate · Field Mapping · 92/100 confidence
Applicant types: Private institutions of higher education; County governments; Small businesses; For profit organizations other than small businesses; Native American tribal governments (Federally recognized); Public and State controlled institutions of higher education; Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education; Independent school districts; City or township governments; Public housing authorities/Indian housing authorities; Native American tribal organizations (other than Federally recognized tribal governments); Special district governments; Others (see text field entitled "Additional Information on Eligibility" for clarification); State governments; Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
$.detail.synopsis.applicantTypes · Field Mapping · 94/100 confidence
Official source materials control eligibility, deadlines, amendments, attachments, and funding terms.
Open official sourcevalue_not_disclosed
$.detail.synopsis · Field Mapping · 84/100 confidence
2024-11-15T15:33:41.000Z
$.detail.synopsis.lastUpdatedDate · Field Mapping · 88/100 confidence