Overview
- Funding agency
- U.S. National Science Foundation
- Source
- Grants.gov
- Opportunity #
- 25-537
- 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 dataU.S. National 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.
Others (see text field entitled "Additional Information on Eligibility" for clarification)
5 warning(s) require review.
Objective score, derived by OIP
Publication decision: Publish with warning
NSF-DFG Lead Agency Opportunity in Chemistry and Chemical Process and Transport Systems -- a Grant (Grant) issued by U.S. National Science Foundation.
Objective Government score 69 for grants-gov-359499, 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).
88/100 · 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).
NSF-DFG Lead Agency Opportunity in Chemistry and Chemical Process and Transport Systems
$.detail.opportunityTitle · Field Mapping · 98/100 confidence
359499 / 25-537
$.detail.id · Field Mapping · 99/100 confidence
U.S. National Science Foundation
$.detail.synopsis.agencyName · Field Mapping · 97/100 confidence
Grant
$.detail.synopsis.fundingInstruments · Field Mapping · 96/100 confidence
Recognizing the importance of international collaborations in promoting scientific discoveries, the National Science Foundation (NSF) and the Deutsche Forschungsgemeinschaft (German Research Foundation, DFG) have signed a Memorandum of Understanding (MoU) on research cooperation. The MoU provides an overarching framework to enhance opportunities for collaborative activities between US and German research communities and sets out the principles by which jointly supported activities might be developed. To facilitate the support of collaborative work between US researchers and their German counterparts under this MoU, the Division of Chemistry (CHE) and the Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET) at NSF and the Divisions of Physics and Chemistry (PC) and Engineering Sciences (ING 1) at DFG are pleased to announce a Lead Agency Opportunity for Collaborative Research in Chemistry and Chemical Process and Transport Systems. The goal of this Lead Agency Opportunity is to reduce barriers to working internationally by allowing US and German researchers to submit a single collaborative proposal that will undergo a single review process while funding organizations maintain budgetary control over their awards. Proposals eligible for funding consideration through this Lead Agency Opportunity should review the CHE, CBET, PC, and ING 1 program descriptions for research supported through these divisions/organizations. Proposals are expected to adhere to typical proposal budgets and durations for the relevant CHE, CBET, PC, and ING 1 programs from which funding is sought. A list of participating NSF programs can be found at: https://www.nsf.gov/od/oise/IntlCollaborations/Germany.jsp . German researchers are invited to read: www.dfg.de/nsf-che-cbet . Proposals submitted under this Opportunity will be reviewed by either NSF or DFG as the Lead Agency, depending on where the largest proportion of research lies. Proposals must provide a clear rationale for the need for a US-German collaboration, including the unique expertise and synergy that the collaborating groups will bring to the project. The result of the review process will be shared among the appropriate divisions (NSF/CHE and/or NSF/CBET, and DFG/PC and/or DFG/ING 1) before making final recommendations.
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
2025-06-06T04:00:00.000Z
$.detail.synopsis.postingDate · Field Mapping · 96/100 confidence
Applicant types: Others (see text field entitled "Additional Information on Eligibility" for clarification)
$.detail.synopsis.applicantTypes · Field Mapping · 94/100 confidence
700000.00
$.detail.synopsis.awardCeiling · Field Mapping · 92/100 confidence
2025-07-23T03:00:08.000Z
$.detail.synopsis.lastUpdatedDate · Field Mapping · 88/100 confidence