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Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (SPEED) is sponsored by National Science Foundation (NSF) with industry partners (BASF, Dow, IBM, PepsiCo, P&G). Multidisciplinary teams to develop safe, sustainable, high‑value polymers at commercial scale using data analytics, AI/ML; focuses on circular economy and polymer innovation.
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Or search similar grants →Key questions and narrative sections extracted from the solicitation.
Project Management and Collaboration: Describe the team's project management strategy and how collaborators will work together across disciplines.
Education and Workforce Impact: Address workforce development plans combining polymer chemistry/physics with AI/ML training.
Data Tools and Methods Access: Describe how data tools and methods will align with FAIR principles (Findable, Accessible, Interoperable, Reusable) and ensure open-source code and data sharing.
Vision Statement: Describe the potential industrial, educational, and societal benefits of the proposed research.
Scoring criteria used to review proposals for this grant.
According to the current listing, eligibility includes: Nonprofit research institutions (via academic partnerships) and universities eligible. Confirm the full requirements in the official notice before applying.
Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (SPEED) is funded by National Science Foundation (NSF) with industry partners (BASF, Dow, IBM, PepsiCo, P&G). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start with the full solicitation document linked on this page — it contains the submission instructions and required forms.
The solicitation lists 4 required documents: Letter of Intent (required, due December 5, 2024), Letters of Collaboration (not from industry partners), Data Management Plan (must ensure open-source code and data sharing per FAIR principles), and Biographical Sketches for Key Personnel. Check the official notice for formatting and page-limit rules.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
NSF's Industry-Integrated PhD Scholars Program commits $47 million over five years through the nonprofit UIDP to place more than 250 doctoral students in year-long industry research placements. Universities fund year one, NSF funds years two through four, and each company puts in at least $100,000 per student. Here is what the funding structure actually selects for, the four-year timeline problem, and what universities, companies, and students should do.
Read articleTCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
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