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In 2012, a three-person team at the University of Toronto trained a neural network called AlexNet on two NVIDIA GTX 580 GPUs. The compute cost roughly $1,000. That work—funded by an NSERC grant and a Google Faculty Research Award—triggered the deep learning revolution. Today, training a frontier model can exceed $100 million.
The global pool of competitive AI funding now exceeds $30 billion annually. The U.S. federal government alone invested approximately $3.3 billion in non-defense AI R&D in FY2025, and the Department of Defense requested $13.4 billion for AI and autonomy in FY2026. Most of this funding goes to researchers who found it first—not researchers who deserved it most.
If you are a researcher in any field—biology, climate science, education, materials science, public health—who is integrating machine learning or AI methods into your work, this guide is written for you. Not for computer scientists. For the domain experts who are building the applications that actually matter.
| Your Field | Start Here | Also Check |
|---|---|---|
| Biomedicine & Health | NIH AI programs (Bridge2AI, NIBIB) | NSF BIO, SBIR Phase I |
| Climate & Environment | DOE AI for Science, AI Climate grants | NSF GEO, NOAA, Bezos Earth Fund |
| Agriculture & Food | USDA NIFA ($104M AI allocation) | NSF-USDA joint institutes |
| Defense & Security | DARPA BAAs (I2O, DSO, BTO) | IARPA, DOD CDAO, SBIR |
| Education & Workforce | NSF ExpandAI, Dept. of Education | Humanity AI coalition, IES |
| Materials & Engineering | DOE Genesis Mission, NSF ENG DCL | NIST, NSF MPS |
| AI Startup / Commercialization | NSF SBIR/STTR (20% success rate) | NIH SBIR, DOE SBIR, NVIDIA grants |
| AI Safety & Ethics | Open Philanthropy ($50M+/yr) | NSF SLES, Humanity AI, NIST CAISI |
DARPA
$314M core AI
I2O BAA, DSO BAA, BTO BAA, AI Forward, Young Faculty Award
Browse DARPA AI programs →DOE
$320M+ Genesis Mission
AI for Science, ModCon, 14 robotics projects, 37 foundational AI awards
Browse DOE AI grants →Four agencies dominate federal AI funding, but each operates with radically different priorities, review timelines, and success rates. Understanding these differences is the highest-leverage thing you can do before writing a word of your proposal.
NSF's flagship National AI Research Institutes program now funds 27 institutes across 40+ states, with five-year awards typically in the $16–20 million range. In July 2025, a $100 million infusion—co-funded by Capital One and Intel—stood up five new institutes and a community hub.
But the institutes are just the visible tip. NSF's CISE directorate funded 22% of proposals in FY2024 through programs like Safe, Trustworthy, and Responsible AI (SLES). The Engineering Directorate's Dear Colleague Letter for AI research opens doors for proposals that fall between disciplinary cracks—materials scientists using ML for alloy discovery, civil engineers deploying computer vision for bridge inspection, chemical engineers optimizing reactor design with reinforcement learning. If your work touches AI but you don't consider yourself an AI researcher, NSF's engineering DCL is probably your best entry point.
A program most applicants miss: the CISE Research Initiation Initiative (CRII), which provides $175,000 over two years to early-career researchers at non-R1 institutions. It is explicitly designed for investigators who lack the preliminary data and lab infrastructure that larger grants demand. For tenure-track faculty, the NSF CAREER Award remains the gold standard for AI researchers building their labs.
You do not pitch your idea to DARPA. You respond to a specific technical challenge that a program manager has spent months defining. The Information Innovation Office (I2O) runs a rolling Broad Agency Announcement covering proficient AI, resilient systems, and cyber operations. The Defense Sciences Office and Biological Technologies Office have their own BAAs that frequently include AI components.
What makes DARPA unique is speed. AI Exploration (AIE) opportunities use streamlined contracting to achieve a start date within three months of announcement. Performers then have 18 months to establish feasibility. Compare that to NSF's 6–12 month timeline from submission to award. The 2025 Young Faculty Award specifically targets early-career researchers at U.S. institutions, providing both funding and mentorship.
NIH does not have a single “AI grants” program. Instead, AI permeates virtually every institute and center, making it simultaneously the largest and hardest-to-navigate source of AI research funding. The reported $309 million in core AI R&D dramatically undercounts the real investment when you include bioinformatics, computational biology, and clinical decision support.
Bridge to Artificial Intelligence (Bridge2AI), funded at $130 million over four years through the NIH Common Fund, represents the most deliberate AI investment—it funds interdisciplinary teams to generate ethically sourced, AI-ready datasets in voice biomarkers, cell morphology, and clinical decision-making. The AIM-AHEAD program targets institutions underrepresented in AI research. NIBIB funds AI for medical image analysis. The National Institute on Aging supports AI Technology Collaboratories for elderly care.
The key insight for domain scientists: NIH program officers want to fund the science, not the method. A cancer biologist using graph neural networks for drug-target interaction prediction is more competitive than a computer scientist proposing the same network architecture without the biological question. The R01 success rate sat at roughly 22% in FY2024, but early-career rates dropped to 18.5% in FY2025 due to budget disruptions. Less competitive mechanisms—R21 exploratory grants, SBIR/STTR (where NIH success rates exceed 20%)—all welcome AI-powered approaches.
DOE announced over $320 million for its Genesis Mission in 2025—the largest single-year AI commitment in the agency's history. The investment spans a Transformational AI Models Consortium building self-improving models for science; 14 projects in robotics, automated laboratories, and autonomous experiments; and 37 foundational AI awards for data curation and model development. Congress appropriated $150 million through September 2026, with 24 collaboration agreements including Google DeepMind.
DOE's comparative advantage is infrastructure. The agency operates the most powerful supercomputers on Earth—Aurora at Argonne, Frontier at Oak Ridge—and provides researchers access through allocation programs. For researchers whose work requires massive compute—training scientific foundation models, running molecular dynamics simulations, optimizing fusion reactor designs, or processing petabytes of climate data—DOE is often the only realistic funding path.
USDA's National Institute of Food and Agriculture received a $104 million AI allocation in FY2025 and co-funds NSF AI Research Institutes focused on agriculture. NIST launched the Center for AI Standards and Innovation (CAISI, formerly the AI Safety Institute) with $50 million and stood up $20 million in Centers for AI in Manufacturing. The DOD Chief Digital and AI Office grew from $10 million in FY2022 to $140 million in FY2025. Even agencies without dedicated AI programs—EPA, NOAA, the Department of Education—co-fund AI-related research through joint solicitations with NSF.
American researchers routinely leave international money on the table. Many of the world's largest AI funding programs explicitly welcome U.S. participants as consortium partners, and the dollar amounts rival anything available domestically.
EU Horizon Europe adopted a €14 billion work programme for 2026–2027, with AI as a cross-cutting priority. The GenAI4EU initiative has grown to nearly €700 million. The RAISE initiative has €107 million earmarked for foundation models in materials science and climate, with a €30 million call for foundation model development opening Q1 2026. U.S. institutions can participate as consortium members—they don't receive EU funding directly, but their involvement strengthens the proposal and they share in research infrastructure and data access. The mechanism: find a European lead partner, join their consortium, and your institution covers your own costs (often through a parallel NSF or DOE award).
The UK committed £1.6 billion in targeted AI funding through UKRI from 2026 to 2030—their largest single investment area. Initial priorities include £137 million for AI-enabled drug discovery and Turing AI Pioneer Fellowships worth up to £2.19 million each. Japan has pledged 10 trillion yen ($65 billion) in government funding through 2030 and quadrupled its chips-and-AI budget to ¥1.23 trillion ($7.9 billion) in FY2026. RIKEN's AIP Center and JST fund international collaborations. South Korea's AI budget stands at &won;0.88 trillion (~$640 million) for 2025, with a threefold increase proposed for 2026. Singapore committed S$1 billion to its National AI R&D Plan over five years and runs targeted bilateral grant calls with Korea and Israel, typically funding $500K–$1.2M per project.
Browse EU AI funding →The most significant development in AI funding in the past two years is the emergence of philanthropic coalitions operating at government scale. Humanity AI, announced in 2025, pools $500 million from ten foundations—MacArthur, Ford, Mellon, Mozilla, Omidyar Network, Packard, Doris Duke, Lumina, Kapor, and Siegel Family Endowment. The coalition targets five priority areas: advancing democracy, strengthening education, protecting artists, enhancing work, and defending personal security. Pooled-fund grants begin in 2026.
Open Philanthropy committed roughly $50 million to technical AI safety research in 2024 and launched a $40 million RFP covering 21 research directions—essentially a roadmap for the field. If you work on alignment, interpretability, or AI governance, Open Philanthropy is likely your most efficient funding path. OpenAI's People-First AI Fund distributed $40.5 million in unrestricted grants to 208 U.S. nonprofits, with nearly 3,000 applicants. It targets organizations with operating budgets between $500,000 and $10 million.
Search our foundation directory to find funders by focus area, giving level, and geography. Corporate programs run on different timelines. NVIDIA's Academic Grant Program provides H100 GPU hours and DGX Spark supercomputers—no cash, but compute that would cost six figures on the open market. Amazon Research Awards provide up to $70,000 plus $50,000 in AWS credits per PI. Microsoft's AFMR grants up to $20,000 in Azure credits with a dedicated program for HBCUs and Hispanic-serving institutions. Google, Amazon, and NVIDIA all run 4–8 week review cycles—compare that to 6–12 months for federal agencies. The tradeoff: faster decisions, fewer compliance burdens, but potential restrictions on publication or IP. Read the terms carefully.
NSF's CISE directorate funded 22% of proposals in FY2024. NSF Engineering funded 23%. NIH R01 grants succeeded at roughly 22% overall in FY2024, though early-career rates dropped to 18.5% in FY2025 amid budget disruptions. SBIR Phase I awards land at 17–20% across agencies, with NSF running the highest rate. SBIR Phase II jumps to approximately 60%—the best odds in federal grantmaking, if you can clear Phase I. See our success rate data for detailed breakdowns by agency and program.
Timeline planning: Federal grants require 6–18 months from conception to award. NSF proposals typically take 6–9 months from submission to decision. NIH runs three standard receipt dates per year (February, June, October) with 9–12 month review cycles. DARPA moves faster —3–6 months for AIEs. Foundation and corporate grants run 4–12 weeks. If you need funding in 12 months, you should be submitting federal proposals now while pursuing foundation funds as bridge financing.
Before writing a single word, call the program officer. This is not optional. Every agency expects it, and program officers will tell you directly whether your idea fits their portfolio. A 15-minute phone call can save you three months of wasted effort.
Common mistakes that kill AI proposals: leading with the technology instead of the problem it solves; claiming novelty without citing the state of the art; proposing a system without a clear evaluation plan; underestimating the budget for compute, data labeling, and IRB compliance; and neglecting Broader Impacts (NSF) or diversity statements (NIH). Reviewers reject more proposals for poor fit than for poor science.
How to Write a Winning AI Grant Proposal
Fundamentals of structuring compelling AI research proposals
AI Grant Budget Templates
Budget justification for GPU compute, data labeling, and cloud costs
AI Grant Resubmission Strategies
How to respond to reviewer feedback and strengthen your proposal
Writing AI Ethics Sections
Responsible AI and governance sections reviewers want to see
NSF CAREER Award Guide
The most prestigious early-career award for AI researchers at universities
How to Respond to a DARPA BAA
Navigate DARPA's unique proposal process and win defense AI contracts
Grant funding is only half the equation. Several programs provide the compute, data, and infrastructure that AI research demands—often at zero cost. Our complete guide to GPU credits and compute allocations covers every program in detail.
NAIRR
NSF-led pilot connecting 600+ research teams to shared AI infrastructure. Rolling proposals accepted. Eligibility: universities, nonprofits, federal labs, tribal agencies, startups with federal grants.
DOE INCITE & ALCC
81 projects awarded supercomputer time in 2025 across Aurora and Frontier. Millions of node-hours at no cost. 2026 Call for Proposals is open.
NSF ACCESS
Free supercomputing for any U.S. researcher or educator—with or without an existing grant. Four tiers from Explore to Maximize. ML and data science workloads welcome.
Cloud Research Credits
AWS, Google Cloud, and Azure run academic credit programs providing $5,000–$100,000 in compute. Typically non-competitive—apply and receive credits.
Stack these programs. A well-funded AI research group might hold an NSF award for personnel, an INCITE allocation for large-scale training, NAIRR access for datasets, cloud credits for deployment testing—each at zero dollars beyond the time to apply.
New AI funding opportunities, deadline alerts, and grant writing tips every Tuesday.
The AI grants landscape shifts every week. New solicitations drop, deadlines move, agencies restructure priorities. Granted tracks AI funding across every source covered in this guide—search by sub-field, eligibility, deadline, and funding level. Check grants closing soon or recently added opportunities to stay current. For a complete overview of how to navigate this landscape, see our AI researchers hub. For teams building AI-powered research workflows, our MCP server lets your AI assistant query the database directly, and the weekly newsletter delivers curated opportunities every Tuesday.
In 2012, AlexNet needed $1,000 and one grant. Your next breakthrough may need considerably more. The funding exists. The question is whether you find it before your competitors do.
Data sources: NITRD FY2025 Supplement, NSF funding rates, NIH Reporter, DOE press releases, EU Horizon Europe work programme. Last verified February 2026.
The European Commission and EuroHPC Joint Undertaking launched the Frontier AI Grand Challenge in February 2026, a flagship competition to train a frontier-class general-purpose AI model using Europe's world-class supercomputing infrastructure. The selected project will receive up to 2.5% of overall EuroHPC computing capacity for one year on one or more AI-optimised EuroHPC supercomputers—the largest single compute allocation ever offered to a European AI project. Models must have computational capacity equivalent to at least 400 billion parameters and use efficient, modular architectures such as Mixture-of-Experts (MoE). The initiative aims to close Europe's strategic gap in high-end AI by producing open models made widely available to public authorities, scientific communities, and businesses across Europe, supporting innovation in key sectors such as manufacturing, healthcare, and autonomous systems. Proposals must be submitted through the F6S platform by April 13, 2026. The competition is part of the broader AI Continent Action Plan and complements the InvestAI programme and EuroHPC AI Factories.
NIST SBIR FY 2026 Phase I is a Small Business Innovation Research funding opportunity (NOFO 2026-NIST-SBIR-01) from the National Institute of Standards and Technology offering Phase I awards of up to $150,000 to small businesses developing innovative technologies in NIST priority research areas. Eligible focus areas include artificial intelligence, biotechnology and biomanufacturing, advanced communications, cybersecurity and privacy, and quantum information science and technology. Applicants must select a specific NIST project or program within one of these research areas and submit a technical proposal. This Phase I award is intended to establish technical merit and feasibility for potentially continued Phase II funding.
Disruptive Technologies and Innovative Concepts for Energy Saving Onboard of long-distance ships (ZEWT Partnership) is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Development of novel and disruptive technologies and innovative concepts that demonstrate at least 25% energy savings for long distance shipping, compared to 2008 levels. Established methodology for assessing the energy savings from the proposed solutions, considering the implementation of the IMO GHG strategy and of the FuelEU Maritime Regulation. Proven scalability and replicability of the developed technologies and concepts to various ship types, operational profiles and navigational routes. Assess the economic viability, environmental and climate impacts of the technologies and innovative concepts. Defined implications and impacts of the proposed solutions regarding safety and operational aspects, also addressing competences and skills issues for the adoption and operation of such technologies. Consider AI-based and digital twin features for optimisation and energy management aspects. Relevant improvements should not be considered as part of the at least 25% energy savings target. Scope: Energy consumption of long-distance shipping should be reduced significantly to achieve sustainable worldwide trade. To achieve a more sustainable and environmentally friendly shipping industry, it is essential to continue developing disruptive technologies, advanced materials, and innovative concepts that can significantly reduce energy consumption of long-distance shipping. The objective of this topic is to support solutions for propulsion and non-propulsion energy consumption that aim to achieve at least at least 25% energy savings in long distance shipping as compared to 2008 levels, through the development and integration of standalone solutions. These technologies include (but are not limited to) active or passive increased performance solutions, novel propulsion systems, augmented propulsion technologies capitalizing also on ship motions, hull performance enhancements and the use of advanced materials which can further enhance energy efficiency and reduce the environmental impact of vessels. Any fuel-related proposals should only consider renewable low and zero-carbon fuels. These technologies and concepts should be applicable to various types of ships, including ro-pax, container ships, bulk carriers, and tankers. Proposals are expected to address all the following aspects: Development and demonstration at TRL 4-5 of novel, high-uncertainty but high-reward technologies that significantly reduce energy consumption in long distance shipping. Development of various ship concepts, conducting replication studies for different case scenarios and modelling the real overall energy savings of the solutions and concepts developed. Development of methodologies measuring the impact of the energy efficiency achieved on the GHG intensity and the impact on air pollution of the energy used for propulsion specifically for long distance shipping, with a focus on emission reductions, also facilitating the introduction of such technologies under the scope of LCA guidelines and FuelEU Maritime, and improving the EEDI, EEXI and CII performance where relevant. Consider links with digital twin and AI-based optimisation aspects for the considered technologies (e.g., adaptive and model-predictive control), including the necessary sensing systems, to expand the system’s future capacities. Model the economic viability of the developed technologies, considering initial investment, operational savings, maintenance costs, and potential financial incentives, to assess the economic feasibility while also facilitating decision-making in the design process. Assessment of the safety and environmental implications of the solutions, including technical and operational risks, possible impacts to ships, ports and other land infrastructure. Ensure appropriate sustainability of the action outputs by elaborating on a technology development roadmap and by exploring business c Programme areas: Industrial Competitiveness in Transport, Clean, Safe and Accessible Transport and Mobility, Smart Mobility Deadline stages: 2026-04-14, 2026-10-08
198 matching grants · showing 30
This FOA seeks to stimulate basic and early-stage translational research focused on development of novel intervention strategies to clear persistent, chronic or latent infectious agents from the host. Responsive applications will define and address a therapeutic need specific to a targeted pathogen. Funding Opportunity Number: RFA-AI-12-020. Assistance Listing: 93.855,93.856. Funding Instrument: G. Category: HL. Award Amount: Up to $200K per award.
The purpose of this Funding Opportunity Announcement (FOA) is to support projects to identify and/or validate biomarkers or biomarker combinations leading to improved diagnosis of active pulmonary tuberculosis (TB) in children, including HIV infected children. Funding Opportunity Number: RFA-AI-15-057. Assistance Listing: 93.855,93.856. Funding Instrument: G. Category: HL. Award Amount: $2M total program funding.
The Aquatic Invasive Species Program intends to award funding for its 2016 State Interstate Aquatic Nuisance Species Management Plan (SIANSMP) grant program in accordance with Section 1204 of the Nonindigenous Aquatic Prevention and Control Act. The Act directs the Service to provide cost share grants for the implementation of SIANSMPs that have been approved by the ANS Task Force. These ANS Plans identify technical, enforcement, or financial assistance activities needed to eliminate or reduce the environmental, public health and safety risks associated with aquatic nuisance species (also known as aquatic invasive species). The SIANSMPs focus on feasible, cost effective management practices and measures to be undertaken by the States and cooperating entities to prevent and control ANS infestations in an environmentally sound matter. Funding Opportunity Number: F16AS00123. Assistance Listing: 15.608. Funding Instrument: G. Category: ENV,NR. Award Amount: $1K – $75K per award.
The purpose of this Funding Opportunity Announcement (FOA) is to support pilot clinical trials that test intervention(s) aimed at eliminating cells that are latently-infected with HIV.Trials supported by this FOA should include full integration with laboratory approaches to detect and measure the elimination of latently-infected cells in blood, cerebral spinal fluid, if appropriate, and tissue. Funding Opportunity Number: RFA-AI-16-012. Assistance Listing: 93.242,93.855,93.856. Funding Instrument: CA. Category: HL.
The National Institute of Allergy and Infectious Diseases (NIAID) solicits applications from single institutions and consortia of institutions to participate in the Nonhuman Primate Transplantation Tolerance Cooperative Study Group (NHPCSG) program. The NHPCSG is a multi-center, cooperative program for research on nonhuman primate (NHP) models of kidney, pancreatic islet, heart, and lung transplantation. The goals of the NHPCSG are to evaluate the preclinical safety and efficacy of existing and newly developed immune tolerance induction regimens and to elucidate the underlying mechanisms of the induction, maintenance, and/or loss of tolerance in these models. The long-range goal of this program is to develop and evaluate immune tolerance induction regimens that will result in enhanced long-term graft survival in clinical transplantation. Funding Opportunity Number: RFA-AI-16-008. Assistance Listing: 93.855,93.856. Funding Instrument: CA. Category: HL.
This Funding Opportunity Announcement (FOA) encourages Exploratory and developmental bi-phasic research applications to support the identification and optimization of small molecules or RNAs that interact with host epigenetic machinery to mediate long-term or permanent epigenetic silencing of HIV-1 proviruses. Funding Opportunity Number: RFA-AI-16-038. Assistance Listing: 93.242,93.279,93.855,93.856. Funding Instrument: G. Category: ED,HL. Award Amount: Up to $500K per award.
The Bureau of Reclamation intends to issue a grant agreement to the Pyramid Lake Fisheries under the authority of Catalog of Federal Domestic Assistance (CFDA) 15.517, Fish and Wildlife Coordination Act of 1934, Public Law 85-624, 16 U.S.C. 661 et seq., as amended, and Section 7(a) of the Fish and Wildlife Coordination Act (FWCA) (70 Stat 1122; 16 U.S.C. 742f(a)); as amended and delegated by the Department of the Interior Manual Part 255 DM1. Estimated total amount of agreement is $40,233.00 Reclamation is providing $40,233.00 in Fiscal Year 2017. The objectives of the project are to: (1)Prevent the spread of AIS in Pyramid Lake and other waterbodies via contaminated watercraft.(2)Prevent introductions of new AIS in Pyramid Lake by contaminated watercraft.(3) Protect the waters, native wildlife, and recreational fisheries by preventing or slowing the spread of AIS. (Refer to the Notice of Intent to Award Announcement No. BOR-MP-17-N014 for additional information) A Determination by the Government not to compete this proposed financial assistance based upon Departmental Manual 505 DM 2, paragraph 2.14(B)(4) is solely within the discretion of the Government. This notice of intent is NOT a request for competitive proposals. Questions concerning this announcement should be directed to Crystal Oliver/Grants Management Specialist, by e-mail at coliver@usbr.gov. Funding Opportunity Number: BOR-MP-17-N014. Assistance Listing: 15.517. Funding Instrument: G. Category: ENV. Award Amount: $1 – $40K per award.
Proposals will be considered for extensions of previously funded grant projects. New projects should address the following priorities: Reducing spread of quagga/zebra mussels and other AIS through priority goals of the Quagga Zebra Mussel Action Plan for Western U.S. Waters (QZAP). Conducting research to reduce risks of quagga/zebra mussel spread through the watercraft pathway as identified in the 2015 Dreissenid Mussel Research Priorities Workshop. Reducing new introductions of AIS into Western states through the pet trade. Supporting Aquatic Nuisance Species Task Force (ANSTF) approved State ANS Plans which address the management and/or control of quagga/zebra mussels or other AIS in Western waters. Meeting the goals of An Action Plan to Implement Legal and Regulatory Efforts to Minimize Expansion of Invasive Mussels Through Watercraft Movements in the Western United States. Preventing introductions of AIS into the unique landscapes of the Greater Yellowstone Area and Upper Columbia River Basin. Funding Opportunity Number: F18AS00121. Assistance Listing: 15.608. Funding Instrument: G. Category: IS,NR. Award Amount: $10K – $110K per award.
1) Costs associated with a field trip to the Naval Air Systems Command Lakehurst Facility to reinforce STEM curriculum Includes transportation, substitute teacher (if needed) and other associated costs. 2) Costs associated with teacher participation in a STEM education program or conference. Includes travel expenses (transportation, lodging and per diem) and conference registration. 3) Robotics competition participation in the 2018/2019 school years. Includes registration and associated costs. Robotics competitions include, but are not limited to, FIRST (www.usfirst.org), SEA PERCH (www.seaperch.org) and ZEX (www.vexrobotics.com. 4) Costs associated with other STEM Education Outreach Initiatives that harness and collaborate with National or Regional organizations. This might include, but not be limited to: Math Counts (http://www.mathcounts.org/), the Journal of Visualized Experiments (http://www.jove.com/), Camp Invention (http://www.invent.org). Funding Opportunity Number: NAWCAD-18-1-0001. Assistance Listing: 12.330. Funding Instrument: G. Category: ED. Award Amount: Up to $12K per award.
The DOE SC program in Fusion Energy Sciences (FES) hereby announces its interest in receiving cooperative agreement proposals for centers and designated user facilities in low temperature plasma science and engineering. Centers, that are cohesive and synergistic, should be formed by a closely-interacting group of investigators. Designated user facilities should be similar to the ones outlined in Chapter 5 of the 2016 Frontiers of Plasma Science Workshops report and may be hosted by a group of institutions or a single institution. Both centers and user facilities should be able to address one or more topical areas at the frontier of low temperature plasma science and engineering. Specific research areas of interest include: • interfacial plasma (i.e., low temperature plasma coming into contact with liquid to produce new chemical reactivity through a gas-liquid interface); • interaction of plasma with biomaterials (e.g., understanding how plasma-produced chemical reactivity is delivered through multiple interfaces, such as liquid, cells, tissue, polymers); • control of plasma-electromagnetic interaction (e.g., fundamental understanding of how radio-frequency electromagnetic power produces controllable plasmas to enable microelectronics processing); • Plasma catalysis (e.g., understanding the plasma reactivity and catalyst selectivity);• Plasma aided combustion (e.g., control of pulsed plasmas to improve the efficiency of chemical processing);• Interface between plasma and solid-state physics (e.g., understanding the boundary layer between plasma and solid-state surface);• Coherent structures (e.g., understanding electric self-organization in low temperature plasmas);• Other emerging areas such as plasma aided aeronautics, plasma process control through machine learning, etc.Consistent with the recommendation made in the 2016 Frontiers of Plasma Science Workshops report, the goal of this FOA is to steward designated user facilities and/or centers that will have the capability for a broad spectrum of plasma parameter measurements and have significant potential for advancing fundamental and applied research in low temperature plasmas. Funding Opportunity Number: DE-FOA-0002037. Assistance Listing: 81.049. Funding Instrument: CA. Category: ST. Award Amount: $300K – $1.7M per award.
The U.S. Consulate General, Public Affairs Section in Chennai (PAS Chennai) is soliciting proposals for a grant/cooperative agreement that meets the specifications stated in Section II from legally recognized non-profit, non-governmental organizations that meet U.S. and Indian technical and legal requirements to develop and implement public diplomacy programs as specified by Section II. This funding opportunity seeks to host a workshop for forty (40) disaster management specialists (government officials, NGOs, academics, citizen first responders) from the Indo-Pacific region. Led by U.S., Indian, and regional experts, the workshop will encourage data sharing, dissemination of best practices, more institutional partnerships, and the development of a common “all-hazards” vernacular. Recent alumni of USG exchange programs focused on Disaster Management (as listed above) will be invited as key resource persons. Project Objectives: 1. Better coordination and communication among disaster management specialists from countries in the Indo Pacific region, as evidenced by participant surveys completed 3 months after conclusion of workshop. 2. A new framework for regular data sharing, dissemination of best practices, and a common all-hazards vernacular, to be described in a project Final Report. 3. Application of smart digital technologies throughout the region, including Artificial Intelligence and Big Data techniques, to anticipate and measure the impacts of natural disasters, to be described in a project Final Report. Funding Opportunity Number: C-NOFO-20-105. Assistance Listing: 19.040. Funding Instrument: G. Category: ENV. Award Amount: Up to $80K per award.
The National Institutes of Health (NIH) intends to support the development of innovative quantitative imaging and other relevant biomarkers of myofascial tissues for pain management involving research participants using a two-phase grant funding mechanism. This effort is part of NIHs Helping to End Addiction Long-term (HEAL)SM Initiative to speed the development and implementation of scientific solutions to the national opioid public health crisis. The NIH HEAL Initiative will bolster research across NIH to (1) improve treatment and prevention of opioid misuse and opioid use disorder and (2) enhance pain management. This funding opportunity announcement (FOA) seeks research applications to develop quantitative imaging biomarkers of myofascial tissues and assess their abilities to monitor responses and/or predict outcomes of a variety of pain management regimens. Candidates for the quantitative imaging biomarkers may include objective measures based on minimally invasive imaging technologies, electrophysiological recordings, integration of multiparametric imaging and electrophysiology approaches, or their integration with other markers (e.g., immune factors, genomic markers, physiological factors, etc.) through multiscale modeling or machine learning analysis. The first phase, funded by the R61, will provide funding for up to three years to develop quantitative measures that can differentiate myofascial tissue abnormalities in healthy versus latent, versus active myofascial pain stages using cross-sectional correlations with clinical signs/symptoms. In addition, the R61 phase should include team building and planning activities for the R33 phase. The second phase, funded under the R33, will provide up to two years of support to assess the abilities of the quantitative measures developed in the R61 phase to monitor responses and/or predict outcomes in response to specified therapies to relieve myofascial pain in longitudinal interventional studies. Funding Opportunity Number: RFA-AT-22-003. Assistance Listing: 93.121,93.213,93.286,93.313,93.350,93.846,93.853,93.865,93.866. Funding Instrument: G. Category: HL,ISS.
White House Space Policy Directive-1 (SPD-1), signed by the President in December 2017, directs NASA to lead an innovative and sustainable program of exploration with commercial and international partners to enable human expansion across the solar system, and to bring new knowledge and opportunities back to Earth. The National Space Exploration Campaign calls for human and robotic exploration missions to expand our presence and understanding of the Earth, other worlds, and the cosmos. In response to this call and consistent with the NASA Transition Authorization Act of 2017, NASA submitted to Congress a plan to revitalize and add direction to the Agency’s enduring purpose through the Artemis Program. Artemis is NASA’s lunar exploration program, which includes sending the first woman and the first person of color to the Moon by 2025. Through the Artemis Program, NASA will use new technology to study the Moon in new and better ways and to prepare for human missions to Mars. In support of NASA’s Artemis Program, the MUREP Space Technology Artemis Research (M STAR) activity is established to strengthen and develop the research capacity and infrastructure of U.S. MSIs in areas of strategic importance and value to NASA’s mission and national priorities. Funding Opportunity Number: NNM23ZHA014C. Assistance Listing: 43.008. Funding Instrument: CA. Category: ED. Award Amount: Up to $300K per award.
The purpose of this Notice of Funding Opportunity (NOFO) is to support the late-stage engineering and preclinical development of innovative biological products that safely and specifically kill HIV-infected cells. Products of interest include but are not limited to broadly neutralizing antibodies (bNAbs), their derivatives, and other soluble, antibody-like molecules. Funding Opportunity Number: RFA-AI-23-060. Assistance Listing: 93.855. Funding Instrument: CA. Category: HL. Award Amount: Up to $500K per award.
This project will involve close collaboration with the successful offeror and the U.S. Army Corps of Engineers (USACE), Engineer Research and Development Center (ERDC). This project will involve adding the navigation attributes to acoustic fields and potentially electric fields within the OpenFOAM framework, while still computing hydraulic variables. The resulting data set will include a sound field, a flow field, various navigation attributes that are found to impact either the acoustic and/or flow fields, and electrical field as appropriate. A field site with supporting geometry, acoustic data, lock operations data, navigation data, and AIS data will be provided by the USACE. The successful offeror will be responsible for processing ambient and intentional (that is the acoustic deterrent) acoustic and hydrological data as appropriate. Operations, navigation, and AIS data will be processed by USACE, which would include the removal/recoding of vessel identifications. Funding Opportunity Number: W81EWF-24-2-0029. Assistance Listing: 12.630. Funding Instrument: CA. Category: ST. Award Amount: Up to $175K per award.
Funding Opportunity Title: Promoting Economic Security and Responsible Usage of Emerging Technologies Funding Opportunity Number: PD-SEOUL-FY24-03 Deadline for Applications: Wednesday, July 31, 11:59 p.m. GMT+9 CFDA Number: 19.040 – Public Diplomacy Programs Total Amount Available: $200,000 Maximum for Each Award: $100,000 This notice is subject to availability of funding. A. PROGRAM DESCRIPTION The U.S. Embassy Seoul Public Diplomacy Section (PD) of the U.S. Department of State announces an open competition for organizations to submit applications for programs that promote themes related to economic security, supply chains, quality and sustainable infrastructure, clean energy transition and responsible use of emerging technologies. This Notice of Funding Opportunity builds upon the theme of the 2024 Summit for Democracy, “Democracy for Future Generations,” hosted this year by the Republic of Korea. The Summit for Democracy is a global initiative that highlights the critical role of democracy, transparency, and inclusivity in tackling the world's most pressing challenges. Successful proposals must include an American element or connection with American experts, organizations, or institutions in a field that will promote increased understanding of U.S. policies and perspectives. Proposals may include requests for international travel and related costs of experts, speakers, and key individuals in support of broader activities. However, participant exchanges should not be the exclusive program activity. Embassy Seoul strongly encourages proposals that include substantial outreach in areas outside of the Seoul Metropolitan region. Program activities should take place primarily in the Republic of Korea. Programs in the United States and/or third countries will only be considered with extremely strong justification and/or significant cost sharing (including but not limited to travel expenses and in-kind contributions). Virtual components may be considered to supplement activities within Korea. Program Area 1) Promoting Economic Security in the Indo-Pacific Region The Indo-Pacific region is pivotal in shaping global economic security landscapes. Understanding the key themes and strategic importance of multilateral agreements and frameworks in this region is crucial for informed decision-making and policy development. Objective: Embassy Seoul seeks proposals that: Increase understanding of critical economic security themes in the Indo-Pacific region. Analyze the benefits of strategic frameworks and agreements for economic security. Target Audience: International trade and economic security experts from the academic, think tank, government, and private sectors. Expected activities: Workshops and seminars, Policy briefings, Public awareness activities. Program Area 2) Leveraging Emerging Technologies to Tackle Global Challenges Emerging technologies, such as AI and climate technology, hold significant potential in addressing pressing global challenges like climate change, disinformation, and the transformation of traditional trade markets. Harnessing these technologies, when done responsibly, can lead to innovative solutions and a more sustainable future. Objective: Embassy Seoul seeks proposals that: Promote the use of advanced technologies to address global challenges. Foster knowledge sharing between tech experts and diverse audiences. Explore tangible applications of emerging technology in areas like carbon emission reduction, combating disinformation, and transforming e-commerce. Target Audience: Climate tech experts, policymakers, industry leaders, e-commerce experts, SMEs, and ROK youth groups involved in AI, web/app development, data science, programming, entrepreneurship, and machine learning. Expected activities: Workshops, hackathons, mentorship programs, training. Participants and Audiences: Participants should reflect the United States government’s commitment to diversity, inclusion, equity, and accessibility Note: Not mandatory, but you may use the templates provided here: Proposal Template / Budget Template All application materials must be submitted by email to SeoulPDGrants@state.gov Funding Opportunity Number: PD-SEOUL-FY24-03. Assistance Listing: 19.040. Funding Instrument: CA,G,O. Category: O. Award Amount: $1K – $100K per award.
The purpose of this notice of funding opportunity (NOFO) is to support research that 1) defines associations between variations in human leukocyte antigen (HLA) and killer cell immunoglobulin-like receptor (KIR) genetic regions and immune-mediated diseases, 2) elucidates mechanisms underlying these associations with the goal of advancing therapeutic opportunities, and/or 3) validates association data in order to improve the predictive power of clinical disease screening. Funding Opportunity Number: RFA-AI-24-017. Assistance Listing: 93.853,93.855. Funding Instrument: CA. Category: HL. Award Amount: Up to $400K per award.
The overarching objective of this program is to develop the core features of adaptive and resilient risk management frameworks that can maximize the environmental benefits and minimize the environmental harms of novel biotechnologies in the context of environmental stewardship- shared responsibility for ensuring environmental quality. Within that context, the following are objectives for this research: Objective 1: Comparative analysis of the core elements of existing and emerging risk management frameworks and stewardship practices regulating environmental biotechnology This objective builds on existing ERDC research into the risk management of novel environmental biotechnology that identifies key principles for best practice and knowledge gaps. In collaboration with scientific and social scientific experts in the USA and NATO partner countries, ERDC has taken the first steps to identify key requirements for the effective risk management of environmental biotechnology. The next step in this process must be to assess the fit of these requirements with existing practice. Objective 1 will include the following: i) identification of existing risk management and stewardship practices relevant to the regulation of rapidly-emerging environmental biotechnology applications, ii) comparative analysis identifying the common and distinct properties of these systems, iii) development of application-specific scenarios that can inform the identification of key metrics in objective 2. Objective 2: Identification and assessment of key metrics impacting the resilience of existing and emerging risk management methodologies and community partnerships ERDC research predicts that AI-accelerated research and development of environmental biotechnology is likely to outmatch the capacity of existing risk management and stewardship practices to ensure its safe and responsible use, necessitating the adoption of alternative approaches that are more flexible and resilient. At present, there are few to no objective metrics to comparatively evaluate biotechnology research and development, which limits ability to understand and adopt aligned or diverging approaches to managing pathogenic, environmental, and biodiversity risks. Building on the work in Objective 1, this objective includes the following: i) identification of key capacity metrics related to existing risk management and stewardship practices, ii) collection of data for those metrics across the systems identified in Objective 1, iii) quality assessment of the collected data. Objective 3: Comparative biotechnology modernization forecasting- characterizing future relationships in environmental stewardship Building on Objectives 1 and 2, this objective uses the identified metrics to build test scenarios underlying our understanding of risk management and stewardship practice among these systems. This objective includes the following: i) network analysis of the inter-relationships between risk management components, ii) development of scenarios that examine the impact of specific technology development on risk management and stewardship practices under the presence or absence of key components, iii) use of the capacity metrics identified in Objective 2 to examine how stewardship will fare under these different scenarios and the likely outcomes for environmental and human health. D. Public Benefit This work will improve understanding of how biotechnology activities must be regulated to generate public value and protect the public interest. It will improve our capabilities in promoting widespread access to the benefits of novel environmental biotechnology and preventing and mitigating against related potential harms and threats to human health and the environment. Funding Opportunity Number: W81EWF-24-SOI-0033. Assistance Listing: 12.630. Funding Instrument: CA. Category: ST. Award Amount: Up to $100K per award.
Methods to quantify and predict vulnerability to harmful algal blooms (HABs) has not been developed for most lakes and reservoirs in the U.S. (and the world). This limits the ability for water quality stakeholders to 1) avoid costly emergency events, 2) efficiently design source water monitoring, 3) evaluate the impact of interventions, and 4) maintain trust with the public. Current approaches for detection and prediction of harmful algal blooms rely on infrequent satellite imagery and/or water samples, and provide predictions only at specific sites (i.e., where samples are taken). Furthermore, the models used to make predictions do not typically provide an ability to diagnose the specific drivers of HABs, beyond weather variables. The challenges confronting water quality stakeholders like the USACE are to 1) improve the spatial and temporal resolution of HAB predictions; 2) have the ability to diagnose the causes of HABs in managed reservoirs. The overarching goal of this project is to develop and test a hybrid modeling system that combines watershed, hydrodynamic and machine learning models to provide accurate predictions of HABs in USACE reservoirs, at high spatial and temporal resolution. The products that this project will create include: 1) A hybrid modeling system for making accurate predictions of HABs at USACE reservoirs, improving on the state-of-the-art in terms of spatial coverage and temporal frequency; 2) Demonstrated utility of the hybrid modeling system for identifying the drivers of HABs, and for estimating the efficacy of interventions; Documentation and training to enable deployment of the hybrid modeling system at additional USCAE reservoirs. Funding Opportunity Number: W81EWF-24-SOI-0041. Assistance Listing: 12.630. Funding Instrument: CA. Category: ST. Award Amount: Up to $142K per award.
The purpose of this notice of funding opportunity (NOFO) is to support basic and applied research to define the mechanisms for establishing, developing and maintaining immunity to HIV in early life (from birth to less than 12 years of age), including the impact of prophylactic vaccination and broadly neutralizing HIV antibodies (bNAbs) to protect against acquisition of HIV infection. Funding Opportunity Number: RFA-AI-24-029. Assistance Listing: 93.855. Funding Instrument: CA. Category: HL. Award Amount: Up to $750K per award.
The purpose of this notice of funding opportunity (NOFO) is to understand the critical drivers of tuberculosis (TB) transmission at the individual and population levels in high-burden settings; to develop effective methods to measure rates of TB transmission that rely on an increased understanding of the biomedical basis of transmission and related risk factors; and assess potential interventions, including low-cost and low-tech options, to prevent TB transmission and detect infectious TB. Funding Opportunity Number: RFA-AI-24-049. Assistance Listing: 93.855. Funding Instrument: G. Category: HL. Award Amount: Up to $750K per award.
Google Academic Research Awards (GARA) is a grant from Google Research that provides unrestricted gifts to professors at degree-granting institutions conducting groundbreaking research in computing and technology. Each funding cycle, Google identifies key research areas and invites proposals from academics working on topics with societal implications. The 2025 program includes a focused AI for Privacy, Safety, and Security award track supporting work that leverages frontier AI models to improve digital safety and security. The program is open globally to assistant, associate, and full professors actively advising students and conducting research.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) & National Institutes of Health (NIH). This interagency program supports transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral and/or cognitive research to address pressing questions in the biomedical and public health communities. It emphasizes scientific and engineering innovations by interdisciplinary teams developing novel methods to intelligently collect, sense, connect, analyze, and interpret data from individuals, devices, and systems to enable discovery and optimize health, particularly leveraging machine learning and artificial intelligence.
The purpose of this RFI is to solicit feedback from industry, academia, research laboratories, government agencies, impacted communities and other stakeholders on issues related to gigawatt-scale generation and transmission investments driven by projected electricity demand growth from data centers, advanced manufacturing facilities, semiconductor fabrication plants, and other large energy users that are outpacing the capacity of the existing electric grid. Funding Opportunity Number: DE-FOA-0003574. Assistance Listing: 81.254. Funding Instrument: G. Category: EN. Award Amount: $1 – $2 per award.
The Wellcome Trust Generative AI for Anxiety, Depression and Psychosis program funds fundamental research on using generative AI to improve the measurement or treatment of three major mental health conditions: anxiety disorders, depression, and psychotic disorders. Awards of up to £3 million support research teams of 2-8 members with expertise spanning mental health research, generative AI, AI ethics, and lived experience of mental health conditions. The program supports two main research directions: (1) creating or improving generative models specifically for mental health measurement and intervention, and (2) developing evidence on how humans, AI systems, and clinicians can collaborate safely and efficiently in mental health contexts. Notably, this program funds fundamental research only and explicitly excludes real-world deployment of AI tools. The program includes an accelerator stage where teams refine proposals before submitting full funded research applications. This represents one of the largest dedicated investments in AI for mental health research globally, reflecting Wellcome's strategic priority in understanding and treating mental health conditions.
This Notice of Funding Opportunity (NOFO) invites Center Core (P30) applications for the National Institute on Aging (NIA) Artificial Intelligence and Technology Collaboratories (AITC) program. The AITC Program promotes the development and implementation of artificial intelligence approaches and technology through research projects for aging and AD/ADRD research. All applications should propose strategies for addressing ethical challenges surrounding artificial intelligence and technologydevelopment and implementation, and to employ, when possible, best practices established in the fields of aging and AD/ADRD. Funding Opportunity Number: RFA-AG-26-006. Assistance Listing: 93.866. Funding Instrument: G. Category: HL.
America's Seed Fund (SBIR/STTR) - Robotics (R) Topic is sponsored by National Science Foundation (NSF). This NSF SBIR/STTR topic focuses on robot intelligence and experiential learning, specifically in high-performance processors or hardware that provide situational awareness and improved artificial intelligence. It encourages innovations in voice, obstacle and image recognition, emotional response, and hand-eye coordination. Proposals that borrow features from animal nervous systems and include biologists, neuroscientists, and psychologists are also encouraged. The program also seeks proposals for next-generation automation, flexible assembly lines for mass customization, advanced control with agile robotic systems, and applications supporting individuals with disabilities, healthcare, smart drones, and personal robots.
Small Business Innovation Research (SBIR) Program: Artificial Intelligence (AI) is sponsored by National Science Foundation (NSF). This NSF SBIR topic focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust against adversaries, privacy-preserving, and efficient. It also includes hardware technologies for sustainable AI, edge devices, and AI technologies that lead to better hardware systems.
Call for Effective Technology (CET) 2026-27 is a grant from Accelerate that funds the development, implementation, and evaluation of AI-powered and educational technology tools for use in public school classrooms during the 2026-27 school year. The program prioritizes tools that enable personalized learning and instructional effectiveness, with a particular focus on improving academic outcomes in mathematics and reading while ensuring equitable access across diverse student populations. Eligible applicants include edtech developers, schools, districts, and nonprofits whose tools are grounded in established learning science, already deployed in real classrooms, and can demonstrate a clear theory of action. Awards range from ,000 to ,000. The application deadline was February 20, 2026.
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