Overview
- Funding agency
- National Science Foundation
- Source
- Grants.gov
- Opportunity #
- PD-24-7298
- Funding instrument
- Grant
- Notice type
- Grant
- Actionability
- Open for response
- Lifecycle
- Open
OIP / 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.
Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
5 warning(s) require review.
Objective score, derived by OIP
Publication decision: Publish with warning
Multilateral Partnerships Leveraging Excellence -- a Grant (Grant) issued by National Science Foundation.
Objective Government score 68 for grants-gov-356425, computed from source evidence and Government scoring configuration.
No dimensions were marked insufficient_evidence or not_applicable for this opportunity.
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).
78/100 · Ok
potential_value scored from source evidence and Government scoring guidance (value kind deterministic_calculation, confidence rank 0).
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).
Multilateral Partnerships Leveraging Excellence
$.detail.opportunityTitle · Field Mapping · 98/100 confidence
356425 / PD-24-7298
$.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
Many of the most pressing challenges in research and innovation require collaboration across national and disciplinary boundaries to achieve important advances. A growing number of topics are best addressed on a multilateral basis, building partnerships that leverage diverse expertise, data, infrastructure, and perspectives to advance understanding on critical topics of regional or global importance. At the same time, funders, research organizations, and researchers alike typically have limited experience with multilateral partnerships. The Office of International Science and Engineering’s MultiPLEx program seeks to support visionary, and ambitious international multilateral research partnerships that are required to hasten progress in addressing grand challenges by leveraging research excellence in the U.S. and around the globe. The program also seeks to advance understanding of effective multilateral collaboration. MultiPLEx welcomes proposals that Address urgent research and/or societal challenge of global importance (including but not limited to critical and emerging technology research) and require an inherently international multilateral approach to achieve impactful research results, partnering with at least two countries other than the U.S. Proposals that engage partners across distinct geographic regions are an area of interest. Make clear how the proposed international collaboration will enable research advances and broader impacts that go beyond what can be accomplished by a narrower team. Include a diverse group of U.S. institutions and/or individuals, leveraging the full range of talent that society has to offer MultiPLEx funds support the U.S. research team. Research partners should seek funding from their own national funding agencies or from other sources. A typical MultiPLEx award will be up to three years in duration. The MultiPLEX program is not intended to replace existing OISE or directorate programs. Proposals submitted to MultiPLEX must fall outside the scope of existing OISE or directorate programs. Any proposal submitted to MultiPLEx that is not responsive to this Program Description may be transferred to another OISE program or returned without review. OISE may periodically issue a Dear Colleague Letter inviting MultiPLEx proposals in specific priority areas. PIs interested in submitting proposals that do not respond to a DCL are strongly encouraged to consult a MultiPLEx program director prior to submission to confirm appropriateness. Unless specified in a DCL, MultiPLEx proposals may be submitted any time.
Official source materials control eligibility, deadlines, amendments, attachments, and funding terms.
Open official source68/100 · Ok
novelty scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
$.detail.synopsis.synopsisDesc · Field Mapping · 94/100 confidence
2024-09-14T04:00:00.000Z
$.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
200000.00
$.detail.synopsis.awardFloor · Field Mapping · 92/100 confidence
2024-09-14T14:33:18.000Z
$.detail.synopsis.lastUpdatedDate · Field Mapping · 88/100 confidence