1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsNSF 24-608: Safety, Security, and Privacy of Open-Source Ecosystems (Safe-OSE) is sponsored by National Science Foundation (NSF). Funds research on safety and privacy in open-source ecosystems, applicable to secure AI therapist platforms for children.
Get alerted about grants like this
Get emailed when new opportunities from “National Science Foundation (NSF)” or related funders appear. Free, weekly, unsubscribe anytime.
Or search similar grants →Key questions and narrative sections extracted from the solicitation.
Describe current OSE status with pointers to managing organization and public repositories
Articulate national/societal/economic impacts of the open-source ecosystem
Articulate the targeted classes of safety, security, and/or privacy vulnerabilities to be addressed and the broader impacts of addressing them
Provide detailed development plan with Year 1 and Year 2 subsections
Describe evaluation plan with success metrics and benchmarks
Substantiate eligibility compliance
Scoring criteria used to review proposals for this grant.
According to the current listing, eligibility includes: Institutions of higher education, nonprofits, for-profits; up to 2 preliminary proposals per organization. Confirm the full requirements in the official notice before applying.
NSF 24-608: Safety, Security, and Privacy of Open-Source Ecosystems (Safe-OSE) is funded by National Science Foundation (NSF). 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.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The solicitation lists 9 required documents: Cover Sheet, Project Summary with 2-5 keywords, Project Description (15 pages max), Budget and Budget Justification, References Cited, and Data Management and Sharing Plan (2 pages max), among others (the full list is in the Required Documents section on this page). Check the official notice for formatting and page-limit rules.
Economics of AI Fellowship is sponsored by Stripe. The fellowship supports foundational academic research in the economics of AI, an area currently understudied despite rapid technical progress in artificial intelligence. Fellows receive a baseline grant, opportunities to attend conferences with leading economists and technologists, and potential access to unique data via Stripe and its customers.
The UKRI Policy Fellowships 2025, funded by the Economic and Social Research Council, offer 18-month placements for academics to co-design research with UK government and What Works Network host organizations. Awards range from £180,000 to £280,000 and support three fellowship tracks: core policy fellows, Natural Hazards and Resilience policy fellows, and What Works Innovation fellows. Applicants must hold a PhD or equivalent research experience, be based at a UKRI-eligible UK organization, and possess relevant subject matter or methodological expertise. Government-hosted positions target early to mid-career academics, while What Works fellowships welcome all career stages. Fellows work directly with policymakers to bridge academic research and policy development on pressing national and global challenges. The application deadline is July 15, 2025.
On July 22, 2026, NSF announced $83M in Integrated Data Systems & Services (IDSS) awards — national-scale data infrastructure that sits underneath AI-for-science alongside NAIRR. Category I awards run $10M–$30M over five years; Category II transitions regional pilots to national operations. The FY26 cohort is set and the July 28 deadline just closed. Here is who won, how the two categories and the one-proposal rule work, and how to build a competitive submission for the annual cycle that reopens next July.
Read articleNSF's TechAccess: AI-Ready America commits up to $224 million to build one AI-readiness coordination hub in every state, DC, and U.S. territory. Round 1 closed July 16, 2026 — but Rounds 2 and 3 are still open, and most states are still up for grabs. Here is how the hub structure works, who is eligible, why cost sharing is banned, and how to position an institution to own its state's hub.
Read articleNSF just put $83 million into six national-scale data systems through its Integrated Data Systems and Services program — the plumbing that makes AI-for-science actually work. Here is who won, how the three-category structure (national-scale, transition, planning) really functions, why the Category III planning grant is the on-ramp most teams should be aiming at, and how to build readiness before the next fourth-Tuesday-in-July deadline.
Read article