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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) |
166 matching grants · showing 30
This is modification 03 to the NOFO: • Removed indirect cost cap at 15% of Total Project Costs (Section I.G.15). NOFO Number: DE-FOA-0003505 - CATALYTIC APPLICATION TESTING FOR ACCELERATED LEARNING CHEMISTRIES VIA HIGH-THROUGHPUT EXPERIMENTATION AND MODELING EFFICIENTLY (CATALCHEM-E) To obtain a copy of the Notice of Funding Opportunity (NOFO) please go to ARPA-E eXCHANGE at https://arpa-e-foa.energy.gov. To apply to this NOFO, Applicants must register with and submit application materials through ARPA-E eXCHANGE (https://arpa-e-foa.energy.gov/Registration.aspx). For detailed guidance on using ARPA-E eXCHANGE, please refer to the ARPA-E eXCHANGE User Guide (https://arpa-e-foa.energy.gov/Manuals.aspx). ARPA-E will not review or consider application materials submitted through other means. For problems with ARPA-E eXCHANGE, email ExchangeHelp@hq.doe.gov (with NOFO name and number in the subject line). Questions about this NOFO? Check the Frequently Asked Questions available at http://arpa-e.energy.gov/faq. For questions that have not already been answered, email ARPA-E-CO@hq.doe.gov. Agency Overview: The Advanced Research Projects Agency – Energy (ARPA-E), an organization within the Department of Energy (DOE), is chartered by Congress in the America COMPETES Act of 2007 (P.L. 110-69), as amended by the America COMPETES Reauthorization Act of 2010 (P.L. 111-358), as further amended by the Energy Act of 2020 (P.L. 116-260): “(A) to enhance the economic and energy security of the United States through the development of energy technologies that— (i) reduce imports of energy from foreign sources; (ii) reduce energy-related emissions, including greenhouse gases; (iii) improve the energy efficiency of all economic sectors; (iv) provide transformative solutions to improve the management, clean-up, and disposal of radioactive waste and spent nuclear fuel; and (v) improve the resilience, reliability, and security of infrastructure to produce, deliver, and store energy; and (B) to ensure that the United States maintains a technological lead in developing and deploying advanced energy technologies.” ARPA-E issues this Notice of Funding Opportunity (NOFO) under its authorizing statute codified at 42 U.S.C. § 16538. The NOFO and any cooperative agreements or grants made under this NOFO are subject to 2 C.F.R. Part 200 as supplemented by 2 C.F.R. Part 910. ARPA-E funds research on, and the development of, transformative science and technology solutions to address the energy and environmental missions of the Department. The agency focuses on technologies that can be meaningfully advanced with a modest investment over a defined period of time in order to catalyze the translation from scientific discovery to early-stage technology. For the latest news and information about ARPA-E, its programs and the research projects currently supported, see: http://arpa-e.energy.gov/. ARPA-E funds transformational research. Existing energy technologies generally progress on established “learning curves” where refinements to a technology and the economies of scale that accrue as manufacturing and distribution develop drive improvements to the cost/performance metric in a gradual fashion. This continual improvement of a technology is important to its increased commercial deployment and is appropriately the focus of the private sector or the applied technology offices within DOE. In contrast, ARPA-E supports transformative research that has the potential to create fundamentally new learning curves. ARPA-E technology projects typically start with cost/performance estimates well above the level of an incumbent technology. Given the high risk inherent in these projects, many will fail to progress, but some may succeed in generating a new learning curve with a projected cost/performance metric that is significantly better than that of the incumbent technology. ARPA-E will provide support at the highest funding level only for submissions with significant technology risk, aggressive timetables, and careful management and mitigation of the associated risks. ARPA-E funds technology with the potential to be disruptive in the marketplace. The mere creation of a new learning curve does not ensure market penetration. Rather, the ultimate value of a technology is determined by the marketplace, and impactful technologies ultimately become disruptive – that is, they are widely adopted and displace existing technologies from the marketplace or create entirely new markets. ARPA-E understands that definitive proof of market disruption takes time, particularly for energy technologies. Therefore, ARPA-E funds the development of technologies that, if technically successful, have clear disruptive potential, e.g., by demonstrating capability for manufacturing at competitive cost and deployment at scale. ARPA-E funds applied research and development (R&D). The Office of Management and Budget defines “applied research” as an “original investigation undertaken in order to acquire new knowledge…directed primarily towards a specific practical aim or objective” and defines “experimental development” as “creative and systematic work, drawing on knowledge gained from research and practical experience, which is directed at producing new products or processes or improving existing products or processes.” Applicants interested in receiving financial assistance for basic research (defined by the Office of Management and Budget as “experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundations of phenomena and observable facts”) should contact the DOE’s Office of Science (http://science.energy.gov/). Office of Science national scientific user facilities (http://science.energy.gov/user-facilities/) are open to all researchers, including ARPA-E Applicants and awardees. These facilities provide advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and the atmosphere. Projects focused on early-stage R&D for the improvement of technology along defined roadmaps may be more appropriate for support through the DOE applied energy offices including: the Office of Energy Efficiency and Renewable Energy (http://www.eere.energy.gov/), the Office of Fossil Energy and Carbon Management (https://www.energy.gov/fecm/office-fossil-energy-and-carbon-management), the Office of Nuclear Energy (http://www.energy.gov/ne/office-nuclear-energy), and the Office of Electricity (https://www.energy.gov/oe/office-electricity). ARPA-E encourages submissions stemming from ideas that still require proof-of-concept R&D efforts as well as those for which some proof-of-concept demonstration already exists. Submissions can propose a project with the end deliverable being an extremely creative, but partial solution. Program Overview: 1. SUMMARY The Catalytic Application Testing for Accelerated Learning Chemistries via High-throughput Experimentation and Modeling Efficiently (CATALCHEM-E) program aims to disrupt and accelerate the design and development cycle for heterogeneous catalyst R&D workflows. The program will span from rational material discovery to synthesis and final reactor testing. These novel workflows will be developed by coupling the latest advancements in artificial intelligence (AI) and machine learning (ML) with high-throughput experimentation (HTE) to verifiably complete 10–15 years of traditional catalysis R&D work within 12–18 months, thus achieving more than a ten-time acceleration in the catalyst development cycle. The program will then use these new tools to discover and optimize catalytic chemistries relevant to ARPA-E’s goals. These new chemistries will ultimately help advance the objective of net-zero carbon emissions by 2050. Innovations developed under the CATALCHEM-E program will involve: • Future refinery relevant or other next-generation feedstocks such as hydrogen (H2), nitrogen (N2), oxygen (O2), water (H2O), carbon dioxide (CO2), methane (CH4), ammonia (NH3), methanol (MeOH), ethanol (EtOH), bio-intermediates (CxHyOz), waste plastics, and triglycerides (TAGs); and • Products like ethylene (C2=) and propylene (C3=) as low carbon monomers, and sustainable aviation fuel (SAF), diesel, and syngas as distillate range hydrocarbons. Key program elements include, but are not limited to: • Novel workflow topologies: A workflow topology is a diagram designating key task nodes involved in the development of a technical catalyst from conception through reactor-scale testing. An example of a traditional, non-automated closed-loop workflow spanning from hypothesis to technical catalyst performance testing is illustrated in Figure 1. The CATALCHEM-E program envisions creating novel closed-loop workflow topologies that strategically remove bottlenecks and time-consuming tasks ultimately resulting in significant acceleration when compared to the traditional workflow. • Enhanced data integrity and benchmarking through reference chemistries: The program will use reference chemistries for workflow validation. These reference chemistries have been proven at the commercial scale and are relevant to both ARPA-E’s goals and the U.S. goal of net-zero carbon emissions by 2050. Specifically, the reference chemistries recommended in this program have been selected to provide applicants with feedstock phase flexibility across thermochemical and electrochemical reaction classes. Here, commercially available catalysts operating in real-world industrial-scale reactor units will serve as controls to ensure data integrity within each task node in the workflow, and as benchmarks when assessing the performance of AI/ML models. • High-quality data generation via HTE: Autonomous or automated HTE methods are necessary to generate high-quality experimental data in large quantities to train and validate AI/ML models. HTE techniques operating over complex, wide parameter spaces can increase the efficiency of experimentation across all stages of the catalyst development cycle, from research catalyst (synthesis, characterization, and validation) to technical catalyst (formulation, characterization, and validation). In addition, the quality of data and ability to identify the most optimal experimental conditions is expected to be enhanced dramatically with these approaches. • AI/ML-ready catalysis databases and informatics: As a result of creating effective CATALCHEM-E workflows, projects must create a set of robust databases in tandem populated with high-quality, multi-scale, multi-modal data as generated and gathered from synthesis, characterization, and performance testing tasks at the ab initio and research and technical catalyst levels. Further, these novel workflows will take advantage of the tools for automation and database management to streamline the storage, access, and processing of collected data that is findable, accessible, interoperable, and reusable (FAIR) to accomplish AI/ML tasks. • Transformational multi-scale, multi-modal modeling using AI/ML: As shown in Figure 2 in Section I.C, there are several ways to leverage the AI/ML tools and techniques to understand heterogenous catalyst surfaces starting from known theoretical predictions or prior knowledge in literature coupled with CATALCHEM-E workflow data (including language) from synthesis, advanced characterization, and reactor-scale testing activities. • Surrogate AI/ML assisted computational modeling and simulations: ML-based surrogate models can be used in two ways in the program. First, these models can accelerate the parametric testing space for the reactor-scale performance. Projects may accelerate the simulation of technical catalyst performance at engineering-scale by training surrogate models on data generated using various computational fluid dynamics and multi-physics approaches (e.g., COMSOL, Ansys, and OpenFOAM). , , These simulations can be used to expand the training set of the CATALCHEM-E learning model. Second, these models can accelerate the elucidation of fundamental reaction mechanisms and networks by including atomic scale, ab initio approximations along with microkinetic modeling for more rigorous calculations involving surface transition states and adsorption energetics. To view the NOFO in its entirety, please visit https://arpa-e-foa.energy.gov. Funding Opportunity Number: DE-FOA-0003505. Assistance Listing: 81.135. Funding Instrument: CA,O. Category: OZ,ST. Award Amount: $2.5M – $3.5M per award.
AFRI Strengthening Agricultural Systems (SAS) is sponsored by USDA National Institute of Food and Agriculture (NIFA). Supports integrated research, education, and extension projects that transform the food and agricultural system; includes a specific 2026 priority track for Artificial Intelligence in K-12 and workforce programs. Application snapshot: target deadline February 26, 2026; published funding information $2,500,000 - $10,000,000; eligibility guidance Colleges and universities, non-profit organizations, federal agencies, and private organizations. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
DOE SBIR/STTR FY 2026 Phase I Release 2 is sponsored by U.S. Department of Energy. Funding for innovative R&D across energy-related technologies, including AI/ML for grid resilience, water power technology data science, and cybersecurity for critical infrastructure. Official opportunity description and requirements excerpt: SBIR FY 2026 | U.S. DOE Office of Science(SC) An official website of the United States government **Official websites use .gov** A **.gov** website belongs to an official government organization in the United States. **Secure .gov websites use HTTPS** A **lock** ( ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. U.S. Department of Energy Office of Science * Federal Advisory Committee * President’s Council of Advisors on Science and Technology (PCAST)") * Communication Resources * Ames National Laboratory * Argonne National Laboratory * Brookhaven National Laboratory * Fermi National Accelerator Laboratory * Lawrence Berkeley National Laboratory * Oak Ridge National Laboratory * Pacific Northwest National Laboratory * Princeton Plasma Physics Laboratory * SLAC National Accelerator Laboratory * Thomas Jefferson National Accelerator Facility * Safety and Security Policy * Operations Program Management * User Facilities at a Glance * Frequently Asked Questions * Office of Sponsored Activities * Topical Funding Opportunity Awards * Award Search / Public Abstracts * Early Career Research Program * Digital Research Data Management * Acknowledgements of Federal Support * Artificial Intelligence for Science * Biopreparedness Research Virtual Environment (BRaVE)") * Data Resources (PuRe Data) Data") * National Virtual Biotechnology Laboratory (NVBL)") * Quantum Information Science (QIS)") * Advanced Scientific Computing Research * Biological and Environmental Research * Workforce Development for Teachers and Scientists * Small Business Innovation Research and Small Business Technology Transfer * Isotope R&D and Production (IRP)") * Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) and Small Business Technology Transfer (STTR)") | **FY26 (Future)** | FY25 (Current) | FY24 (Closed) | | Phase I | Release 1 | Release 2 | | **Topics Issued** | Monday, July 7, 2025 (Delayed) | Monday, November 10, 2025(Delayed) | | Topic Webinar, week of | Monday, July 14, 2025 (Delayed) | Monday, November 17, 2025(Delayed) | | **FOA Issued** | Monday, August 4, 2025 (Delayed) | Monday, December 15, 2025(Delayed) | | FOA Webinar | Friday, August 8, 2025 (Delayed) | Friday, December 19, 2025(Delayed) | | **Letters of Intent (LOI) Due** | Tuesday, August 26, 2025 5:00pm ET(Delayed) | Tuesday, January 6, 2026 5:00pm ET(Delayed) | | **Non-responsive LOI Feedback Provided** | Monday, September 15, 2025(Delayed) | Monday, January 26, 2026(Delayed) | | **Full Applications Due** | Tuesday, October 7, 2025 11:59pm ET(Delayed) | Wednesday, February 25, 2026 1:59pm ET(Delayed) | | Award Notification | Monday, January 5, 2026(Delayed) | Tuesday, May 26, 2026(Delayed) | | Projected Grant Start Date | Application snapshot: target deadline February 26, 2026; published funding information $200,000 - $250,000; eligibility guidance Small business concerns (SBCs) organized for-profit with research capabilities in energy-water nexus and advanced computing. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
SBIR Phase I Release 2: Building Technologies (Topic C56) is sponsored by U.S. Department of Energy (DOE). Funding for AI-driven solutions that improve building energy efficiency, including smart diagnostics for home repairs, retrofitting, and automated envelope maintenance. Application snapshot: target deadline February 26, 2026; published funding information Up to $200,000; eligibility guidance U.S. small businesses with strong research and development capabilities. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Accelerating Physical AI: Embodied Intelligence for the Next Frontier of AI-Powered Robotics is sponsored by European Commission — Horizon Europe. Expected Impact: This Challenge will support the ambitions of the AI Act, Apply AI Strategy. The AI powered robotics models developed under this Challenge are expected to comply with the EU concept for Trustworthy AI and the relevant ethical principles with due attention paid to data quality, transparency and accountability, privacy, security and safety. In the medium to longer term, it is expected to reduce European dependencies and support end users in leveraging advances in AI to enhance their products and develop new capabilities that will contribute to: Strengthened European leadership in physical AI, reducing reliance on non-European technology providers, and Contribution to EU priorities in sustainability, resilience, digital transformation, and industrial competitiveness. Objective: This is a two-stage Challenge competition of which the ultimate ambition is to deliver scalable prototypes, validated in a relevant real-world environment. Solutions supported under the Challenge are expected to demonstrate both the novelty and applicability of the proposed Physical AI technology, while mitigating associated risks. Applicant to Stage 1 must also have a clear outlook on the potential longer-term impact(s). Stage1- Solution validation and benchmarking Applicants with disruptive physical AI systems that have achieved a prototype (i.e. at least TRL 4) will be invited to: Refine and validate the prototype in a relevant environment to demonstrate the core innovation (e.g., new perception (multimodal), actuation, continual learning, or autonomy capability, etc.). in the end use case Develop a methodology for performance assessment Assess ethical, data governance and scalability considerations Identify challenges to integration such as safety, certification or scalability with view to identifying risks and exploring options for overcoming barriers for adoption including in cases where products’ risks are not covered by the AI Act Conduct initial performance benchmarking, and Develop an initial market analysis, business plan and model. The outputs of Stage 1 will be assessed for progress against the following milestones: Evidence of technical viability with initial performance data that benchmarks performance and disruptive potential against the state-of-the-art in at least one pilot case within the specified application area, and Clear commitment from end users and stakeholders to further develop the physical AI solution in Stage 2. To maximise impact, foster collaboration, and accelerate learning across funded teams, Progress to Stage 2 will be contingent on delivering a full proposal which will be assessed alongside the milestones achieved under Stage 1. Stage 2 - Development and user testing Applicants for Stage 2 will be expected to further develop and validate a Physical AI system through the following activities: Build and test (ensure at least two deployments loops) a robust, integrated solution capable of autonomous operation in complex or semi-structured environments (e.g., pilot deployment in real world environment, etc.) to reach TRL 6-7 Address scalability and manufacturability: show that the solution can be scaled or adapted for broader integration and deployment Conduct necessary testing, documentation, and compliance activities towards certification or regulatory approval of the adapted solution Organisation of consultation meetings/workshops with industrial end users, regulators, standard setting bodies or other relevant stakeholders to gather further needs and feedback, and Develop a roadmap to commercialisation: refine market analysis, and validate business plan including stakeholder engagement, and identification of scaling strategies At the end of Stage 2, projects will be expected to have: Delivered a robust, integrated solution capable of autonomous operation in complex or semi-structured environments i.e. capable of pilot deployment in real world environment Demonstrated reliability, adaptability, energy/reso Programme areas: Additional EIC activities, The European Innovation Council (EIC), Innovative Europe Official opportunity description and requirements excerpt: EU Funding & Tenders Portal EU Funding & Tenders Portal * Results & Innovation support * SME Self-assessment tool Home Funding Calls for proposals Accelerating Physical AI: Embodied Intelligence for the Next Frontier of AI-Powered Robotics Accelerating Physical AI: Embodied Intelligence for the Next Frontier of AI-Powered Robotics * Conditions and documents EIC Advanced Innovation Challenge (HORIZON-EIC-2026-AIC) HORIZON-EIC HORIZON EIC Grants HORIZON Lump Sum Grant [HORIZON-AG-LS] 26 February 2026 17:00:00 Brussels time This Challenge will support the ambitions of the AI Act, Apply AI Strategy. The AI powered robotics models developed under this Challenge are expected to comply with the EU concept for Trustworthy AI and the relevant ethical principles with due attention paid to data quality, transparency and accountability, privacy, security and safety. In the medium to longer term, it is expected to reduce European dependencies and support end users in leveraging advances in AI to enhance their products and develop new capabilities that will contribute to: * Strengthened European leadership in physical AI, reducing reliance on non-European technology providers, and * Contribution to EU priorities in sustainability, resilience, digital transformation, and industrial competitiveness. This is a two-stage Challenge competition of which the ultimate ambition is to deliver scalable prototypes, validated in a relevant real-world environment. Solutions supported under the Challenge are expected to demonstrate both the novelty and applicability of the proposed Physical AI technology, while mitigating associated risks. Applicant to Stage 1 must also have a clear outlook on the potential longer-term impact(s). **Stage1- Solution validation and benchmarking** Applicants with disruptive physical AI systems that have achieved a prototype (i.e. at least TRL 4) will be invited to: * Refine and validate the prototype in a relevant environment to demonstrate the core innovation (e.g., new perception (multimodal), actuation, continual learning, or autonomy capability, etc.). in the end use case * Develop a methodology for performance assessment * Assess ethical, data governance and scalability considerations * Identify challenges to integration such as safety, certification or scalability with view to identifying risks and exploring options for overcoming barriers for adoption including in cases where products’ risks are not covered by the AI Act * Conduct initial performance benchmarking, and * Develop an initial market analysis, business plan and model. The outputs of Stage 1 will be assessed for progress against the following milestones: * Evidence of technical viability with initial performance data that benchmarks performance and disruptive potential against the state-of-the-art in at least one pilot case within the specified application area, and * Clear commitment from end users Application snapshot: target deadline February 26, 2026; published funding information €12M total budget (~$13M USD) ; up to €300K per project ; ~10 grants expected; eligibility guidance Open to legal entities established in EU Member States and countries associated to Horizon Europe (including EEA/EFTA countries, and other associated third countries). Action type: HORIZON-EIC HORIZON EIC Grants. Additional conditions: "> General conditions 1. Admissibility Conditions: Proposal page limit and layout The call is open for submission by A single legal entity established in a Member State or an Associated Country (‘mono-beneficiary’) if you are a start-up, SME or research performing organisation (university, research or technology organisation, including teams, individual Principal Investigators and inventors). Larger companies (i.e. which do not qualify as SMEs) are not eligible to apply as a single legal... See the official call documentation on the F&T Portal for full eligibility criteria and participation rules. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Colorado Advanced Industries Proof of Concept (POC) Grant is sponsored by Colorado Office of Economic Development and International Trade (OEDIT). State program supporting applied research and technology development for product/manufacturing commercialization. Helps move design engineering from research to market viability in advanced industries. Official opportunity description and requirements excerpt: Advanced Industries Proof of Concept Grant Program - CSU STRATA Advanced Industries Proof of Concept Grant Program Fueling Economic Growth in Colorado The Advanced Industries (AI) Proof of Concept (POC) Program funding is provided to Colorado State University (CSU) through the Colorado Office of Economic Development and International Trade (OEDIT) and is intended to accelerate the commercialization of CSU innovations with high potential for creating economic impact in the State of Colorado. CSU applicants may request up to $130,000 in funding for POC projects related to the following industries: Aerospace, Advanced Manufacturing, Bioscience, Electronics, Energy and Natural Resources, Infrastructure Engineering, and Technology and Information. A 1:3 cash match is required. Applying to Advanced Industries Proof of Concept Grant Program Please read our RFP document for details on how to apply for funding. Interested applicants should register to give a 15-minute presentation summarizing their project concept via the link in the RFP document and should use the presentation template provided. Registration is now closed. We urge PI’s that have previously applied to carefully review the details in the RFP document. Additional AI POC funding is available to researchers at eligible Colorado research institutions directly through OEDIT, which began accepting applications in July 2025. CSU researchers should contact CSU Strata about applying for these funds. Questions regarding the grant process? Contact techtransfer@csustrata.org Frequently Asked Questions What is the Advanced Industries Proof of Concept (AI POC) Program? The AI POC Program is funded by the Colorado Office of Economic Development and International Trade (OEDIT) to advance innovations developed at Colorado research institutions in the advanced industries towards commercialization, leading to economic impact in the State of Colorado. These industries include: Aerospace, Advanced Manufacturing, Bioscience, Electronics, Energy and Natural Resources, Infrastructure Engineering, and Technology and Information. Since 2013, more than $5 million have been allocated to CSU under the AI POC Program, funding more than 60 projects. Who administers the AI POC awards at CSU? CSU Strata, in collaboration with the Offices of Sponsored Programs. Who is eligible to apply as the primary investigator for an AI POC award at CSU? AI POC grant funding is available to any Colorado State University non-temporary, salaried, state classified or general faculty employee. What is the general application process? The process is outlined in the figure below: Who do I contact with questions about the grant process? All questions regarding AI POC grants at CSU should be directed to Sarah Belford via email, sarah.belford@colostate.edu . What is the expected timeline for applying to CSU's allocated AI POC Application snapshot: target deadline February 26, 2026; published funding information Up to $150,000; eligibility guidance Colorado research institutions and small businesses; requires 1:3 private match; focus on advanced industries (aerospace, manufacturing, etc.) Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
IMLS 21st Century Museum Professionals Grants is sponsored by Institute of Museum and Library Services. Funds training in emerging technologies like AI for museum and library professionals, applicable to university design and tech education programs. Official opportunity description and requirements excerpt: 21st Century Museum Professionals Program | Institute of Museum and Library Services Celebrating America’s 250th Anniversary Evaluations & Research Studies 21st Century Museum Professionals Program Grants to State Library Administrative Agencies Inspire! Grants for Small Museums Laura Bush 21st Century Librarian Program Museum Grants for African American History and Culture Museum Grants for American Latino History and Culture National Leadership Grants for Libraries National Leadership Grants for Museums Native American Library Services: Basic Grants Native American Library Services: Enhancement Grants Native American/Native Hawaiian Museum Services Native Hawaiian Library Services Purpose & Priorities of LSTA Enter a keyword to find resources and information pertaining to IMLS Grants. Application: The FY 2026 Notice of Funding Opportunity (NOFO) (PDF, 861KB) is now available. Grant Amount: $100,000–$500,000 Grant Period: One to three years Cost Share Requirement: You must provide funds from non-federal sources in an amount that is equal to or greater than the amount of your IMLS request. IMLS Priorities Cover Letter: 21MP Cover letter (PDF, 151KB) The 21st Century Museum Professional (21MP) grant program supports projects that build career pathways, strengthen professional networks, and identify and share effective workforce education and training practices in the museum field. The goals of the program are to: Support the professional development of the current museum workforce; and Recruit and train future museum professionals. The primary audiences for this program are museums, museum service organizations and affiliated nonprofits, and museum professionals. Secondary audiences include museum visitors and future museum professionals. Interested in learning more about this grant program? Watch the informational video (below) for details about this grant program and the process of preparing an application. Schedule a counseling call with a program officer. Find an available time on the calendar using the link below. Supervisory Grants Management Specialist To schedule a time to talk to Mark Isaksen, click here . We invite you to view our pre-recorded webinars: Getting Started With IMLS Museum Grants for FY 2026 is a general presentation on IMLS museum grant programs. We recommend that you view this presentation for an overview before considering a specific grant program. Click here to access the recording or to read the transcript. Preparing a Budget and Budget Justification provides information to help you prepare these two required parts of the grant application – the IMLS Budget Form and the Budget Justification. The information in this video supports the instructions in the Notices of Funding Opportunity for each grant program. Click here to access the recording or to read the transcript. *All grant programs are Application snapshot: target deadline February 26, 2026; published funding information $10,000 - $500,000; eligibility guidance Universities with library/museum programs Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
NEH Public Humanities Projects is sponsored by National Endowment for the Humanities. Funds public humanities programs for youth education, including literacy, character education, diversity education, and community engagement through books, storytelling, and humanities discussions. Official opportunity description and requirements excerpt: Public Humanities Projects National Endowment for the Humanities Application Review Process Grantee Communications Toolkit NEH International Opportunities Workshops, Resources, & Tools Emergency and Disaster Relief Featured NEH-Funded Projects Humanities Perspectives on Artificial Intelligence Public Humanities Projects Exhibitions; Interpretation Plans Planning: Up to 24 months Implementation: 12 to 48 months Expected notification date The deadline for this cycle has passed. Updated guidelines will be posted in advance of the next deadline. In the meantime, please use these guidelines to get a sense of what is involved in assembling an application. The Public Humanities Projects program supports projects that bring the ideas of the humanities to life for general audiences through public programming. Projects must engage humanities scholarship to analyze significant themes in disciplines such as history, literature, ethics, and art history. Awards support projects that are intended to reach broad and diverse public audiences in non-classroom settings in the United States. Projects should engage with ideas that are accessible to the general public and employ appealing interpretive formats. All projects must focus on one of the following topic areas: The 250 th anniversary of the signing of the Declaration of Independence The American Dream and Economic Freedom America’s Role on a Global Scale Public Humanities Projects supports two categories, Historic Places and Exhibitions, at two funding levels (Planning and Implementation). Proposed projects may include complementary components: for example, a museum exhibition might be accompanied by a website or mobile app. Projects may be international (but must include audiences in the US and grant funds may not be used to support presentation of content to audiences outside the US), national, regional, or local in focus and should reach a broad public audience. We welcome projects tailored to particular groups, such as families, youth (including K-12 students in informal educational settings), underserved communities, and veterans. Small and mid-sized organizations are encouraged to apply if their projects address topics of regional or national relevance by drawing connections to broad themes or historical questions. Award amounts offered to successful applicants will reflect the project’s scope and the size of its expected audiences. Which level of funding is right for your project? Division of Lifelong Learning If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to access telecommunications relay services. NEH received an average of Review your application package Read the Notice of Funding Opportunity to ensure you understand the expectations and restrictions for projects delivered under this grant and are prepared to write the most effective application. Notice of Application snapshot: target deadline February 26, 2026; published funding information $10,000 - $60,000 (Development grants); eligibility guidance Individuals, nonprofits, institutions of higher education; open to independent scholars and writers Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Colorado Advanced Industries Grant Program (Proof of Concept) is sponsored by Colorado Office of Economic Development and International Trade (OEDIT). Helps Colorado research institutions speed up applied research in advanced industries and commercialize products and services with private sector. Official opportunity description and requirements excerpt: Advanced Industries Proof of Concept Grant Program - CSU STRATA Advanced Industries Proof of Concept Grant Program Fueling Economic Growth in Colorado The Advanced Industries (AI) Proof of Concept (POC) Program funding is provided to Colorado State University (CSU) through the Colorado Office of Economic Development and International Trade (OEDIT) and is intended to accelerate the commercialization of CSU innovations with high potential for creating economic impact in the State of Colorado. CSU applicants may request up to $130,000 in funding for POC projects related to the following industries: Aerospace, Advanced Manufacturing, Bioscience, Electronics, Energy and Natural Resources, Infrastructure Engineering, and Technology and Information. A 1:3 cash match is required. Applying to Advanced Industries Proof of Concept Grant Program Please read our RFP document for details on how to apply for funding. Interested applicants should register to give a 15-minute presentation summarizing their project concept via the link in the RFP document and should use the presentation template provided. Registration is now closed. We urge PI’s that have previously applied to carefully review the details in the RFP document. Additional AI POC funding is available to researchers at eligible Colorado research institutions directly through OEDIT, which began accepting applications in July 2025. CSU researchers should contact CSU Strata about applying for these funds. Questions regarding the grant process? Contact techtransfer@csustrata.org Frequently Asked Questions What is the Advanced Industries Proof of Concept (AI POC) Program? The AI POC Program is funded by the Colorado Office of Economic Development and International Trade (OEDIT) to advance innovations developed at Colorado research institutions in the advanced industries towards commercialization, leading to economic impact in the State of Colorado. These industries include: Aerospace, Advanced Manufacturing, Bioscience, Electronics, Energy and Natural Resources, Infrastructure Engineering, and Technology and Information. Since 2013, more than $5 million have been allocated to CSU under the AI POC Program, funding more than 60 projects. Who administers the AI POC awards at CSU? CSU Strata, in collaboration with the Offices of Sponsored Programs. Who is eligible to apply as the primary investigator for an AI POC award at CSU? AI POC grant funding is available to any Colorado State University non-temporary, salaried, state classified or general faculty employee. What is the general application process? The process is outlined in the figure below: Who do I contact with questions about the grant process? All questions regarding AI POC grants at CSU should be directed to Sarah Belford via email, sarah.belford@colostate.edu . What is the expected timeline for applying to CSU's allocated AI POC Application snapshot: target deadline February 26, 2026; published funding information Up to $150,000 per project; eligibility guidance Colorado research institutions and universities; match requirement: 1:3 (one state dollar for every three requested); match must be cash Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Advanced Industries Proof of Concept Grant is sponsored by State of Colorado Office of Economic Development and International Trade (OEDIT). Supports early-stage research and development in Colorado's Advanced Industries including engineering design and prototyping for innovative technologies. Official opportunity description and requirements excerpt: Advanced Industries Proof of Concept Grant Program - CSU STRATA Advanced Industries Proof of Concept Grant Program Fueling Economic Growth in Colorado The Advanced Industries (AI) Proof of Concept (POC) Program funding is provided to Colorado State University (CSU) through the Colorado Office of Economic Development and International Trade (OEDIT) and is intended to accelerate the commercialization of CSU innovations with high potential for creating economic impact in the State of Colorado. CSU applicants may request up to $130,000 in funding for POC projects related to the following industries: Aerospace, Advanced Manufacturing, Bioscience, Electronics, Energy and Natural Resources, Infrastructure Engineering, and Technology and Information. A 1:3 cash match is required. Applying to Advanced Industries Proof of Concept Grant Program Please read our RFP document for details on how to apply for funding. Interested applicants should register to give a 15-minute presentation summarizing their project concept via the link in the RFP document and should use the presentation template provided. Registration is now closed. We urge PI’s that have previously applied to carefully review the details in the RFP document. Additional AI POC funding is available to researchers at eligible Colorado research institutions directly through OEDIT, which began accepting applications in July 2025. CSU researchers should contact CSU Strata about applying for these funds. Questions regarding the grant process? Contact techtransfer@csustrata.org Frequently Asked Questions What is the Advanced Industries Proof of Concept (AI POC) Program? The AI POC Program is funded by the Colorado Office of Economic Development and International Trade (OEDIT) to advance innovations developed at Colorado research institutions in the advanced industries towards commercialization, leading to economic impact in the State of Colorado. These industries include: Aerospace, Advanced Manufacturing, Bioscience, Electronics, Energy and Natural Resources, Infrastructure Engineering, and Technology and Information. Since 2013, more than $5 million have been allocated to CSU under the AI POC Program, funding more than 60 projects. Who administers the AI POC awards at CSU? CSU Strata, in collaboration with the Offices of Sponsored Programs. Who is eligible to apply as the primary investigator for an AI POC award at CSU? AI POC grant funding is available to any Colorado State University non-temporary, salaried, state classified or general faculty employee. What is the general application process? The process is outlined in the figure below: Who do I contact with questions about the grant process? All questions regarding AI POC grants at CSU should be directed to Sarah Belford via email, sarah.belford@colostate.edu . What is the expected timeline for applying to CSU's allocated AI POC Application snapshot: target deadline February 26, 2026; published funding information $50,000 - $450,000; eligibility guidance Colorado-based companies, startups, research institutions, and higher education institutions in advanced industries Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
DOE SBIR Phase I (Advanced Scientific Computing) is sponsored by Department of Energy. DOE SBIR Phase I (Advanced Scientific Computing) is sponsored by Department of Energy. Focuses on innovations in large-scale data management and artificial intelligence that could be applied to complex technical writing and administrative automation in the energy sector. Official opportunity description and requirements excerpt: Preparing DOE SBIR/STTR Phase I ... | U.S. DOE Office of Science (SC) An official website of the United States government Official websites use .gov .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, U.S. Department of Energy Office of Science Federal Advisory Committee President’s Council of Advisors on Science and Technology (PCAST) Argonne National Laboratory Brookhaven National Laboratory Fermi National Accelerator Laboratory Lawrence Berkeley National Laboratory Oak Ridge National Laboratory Pacific Northwest National Laboratory Princeton Plasma Physics Laboratory SLAC National Accelerator Laboratory Thomas Jefferson National Accelerator Facility Safety and Security Policy Operations Program Management User Facilities at a Glance Frequently Asked Questions Office of Sponsored Activities Topical Funding Opportunity Awards Award Search / Public Abstracts Early Career Research Program Digital Research Data Management Acknowledgements of Federal Support Artificial Intelligence for Science Biopreparedness Research Virtual Environment (BRaVE) Data Resources (PuRe Data) National Virtual Biotechnology Laboratory (NVBL) Quantum Information Science (QIS) Advanced Scientific Computing Research Biological and Environmental Research Workforce Development for Teachers and Scientists Small Business Innovation Research and Small Business Technology Transfer Isotope R&D and Production (IRP) Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Preparing a DOE SBIR/STTR Phase I Grant Application Preparing a DOE SBIR/STTR Phase I Grant Application The DOE SBIR/STTR Phase I Grant Application guide contains step-by-step instructions, sample completed forms for some components, tutorials and a host of other useful information for preparing the required forms for a grant from the U.S. Department of Energy for Small Business Innovation Research (SBIR) or Small Business Technology Transfer (STTR) Phase I Grants. Highlights of our application guidance and associated links are provided. Step-by-Step SBIR/STTR Grant Application Small business applicants will find step-by-step instructions here for completing each section of an SBIR/STTR Phase I Grant application, along with sample documents, templates and tips to assist with the application process. DOE SBIR Phase I Application Tutorials The Phase I Application Tutorials are available to help Small Businesses understand SBIR/STTR eligibility requirements, program complexities, and ultimately, how to prepare, organize and submit a Phase I proposal in response to a DOE SBIR/STTR Funding Opportunity Announcement (FOA). The tutorials are broken down into small pieces and grouped by category. Preparing and Submitting a Letter of Intent A Letter of Intent (LOI) is a document that you submit in advance of your Phase I and Phase II/IIA/IIB/IIC application to the DOE SBIR/STTR programs. Application snapshot: target deadline February 26, 2026; published funding information $200,000; eligibility guidance US-based Small Business Concerns (SBCs). Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Sustainable Agricultural Systems is sponsored by USDA NIFA. Integrates research, education, and extension for sustainable farming systems; AI for precision agriculture, soil health, and farm resilience fits core focus. Official opportunity description and requirements excerpt: AFRI Strengthening Agricultural Systems | NIFA An official website of the United States government The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. NIFA supports research, educational, and Extension efforts in a wide range of scientific fields related to agricultural and behavioral sciences. The lifecycle of grants and cooperative agreements consists of four phases: Pre-Award, Award, Post-Award, and Close Out. Grant Training/Technical Assistance Competitive (AFRI and Non-AFRI) Program Operational Areas Search Funding Opportunities Notice of Funding Opportunities (NOFO) List Veterinary Medicine Loan Repayment Program (VMLRP) Land-grant University Website Directory The National Institute of Food and Agriculture is committed to serving its stakeholders, Congress, and the public by using new technologies to advance greater openness. NIFA Application Status Dashboard LMD - Leadership Management Dashboard REEIS - Research, Education and Economics Information System ASAP - Automated Standard Application for Payments The Data Gateway enables users to find funding data, metrics, and information about research, education, and Extension projects that have received grant awards from NIFA. This website houses a large volume of supporting materials. In this section, you can search the wide range of documents, videos, and other resources. Official Publications and Guidelines Veterinary Services Grant Program Technical Assistance Webinar NIFA staff will hold a Technical Assistance Webinar to discuss the Veterinary Services Grant Program (VSGP) Notice of Funding Opportunity. The National Institute of Food and Agriculture provides leadership and funding for programs that advance agriculture-related sciences. Equal Opportunity and Civil Rights Civil Rights Compliance Program Equal Opportunity and Civil Rights Resources Contact NIFA's Office of Equal Opportunity and Civil Rights AFRI Strengthening Agricultural Systems The long-term goal of the Agriculture and Food Research Initiative - Strengthening Agricultural Systems (SAS) Notice of Funding Opportunity (NOFO) is to help transform the U.S. food and agricultural system to increase agricultural production while enhancing farmer prosperity. Achieving this goal will require transdisciplinary approaches to address current and future food and agricultural challenges within the context of the economic viability of farm operations, quality of life for farmers and society as a whole, and the most efficient use of resources. NIFA is soliciting applications under two Program Area Priorities: Strengthening Agricultural Systems New Uses and Expanding Markets for Agriculture and Forestry Products Solutions to Pests and Diseases of Plants or Animals Combating Food and Diet-Related Chronic Diseases Application snapshot: target deadline February 27, 2026; published funding information $5,000,000 - $10,000,000; eligibility guidance Nonprofits, universities, producer groups Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Applied AI Models Innovation Challenge is sponsored by Massachusetts Technology Collaborative (MassTech). Funds development, fine-tuning, or adaptation of AI models for industry applications, ideal for AI in design. Official opportunity description and requirements excerpt: Notice of Funding Opportunity Solicitation for Applied AI Models Innovation Challenge | Massachusetts AI Hub Applied AI Models Innovation Challenge Artificial Intelligence Compute Resources Data Commons Collaborative Summer Career Academy in AI Notice of Funding Opportunity Solicitation for Applied AI Models Innovation Challenge Notice of Funding Opportunity Solicitation for Applied AI Models Innovation Challenge Solicitation No. 2026-JAII-05 The Massachusetts AI Hub, a division of the Massachusetts Technology Collaborative (Mass Tech Collaborative or MassTech) is issuing this Notice of Funding Opportunity for the Massachusetts Applied AI Models Innovation Challenge, (NOFO No. 2026-JAII-05) (the NOFO) to solicit responses from qualified firms (Respondents) interested in receiving grant funding for translational funding and contribute to the Data Commons Collaborative (DCC). These awards will fund AI model development projects that address critical societal and industry challenges across key sectors of the Massachusetts innovation economy: health care, life sciences, financial services, robotics, advanced manufacturing, climate tech and education. This program is designed as translational funding, addressing the gap between early research and real world deployment. Applicants are invited to propose innovative methods for adapting, evaluating and operationalizing existing AI and ML models, including fine tuning open source models or creating new model components where technically feasible within the one million dollar funding cap. Projects may include training or fine tuning work when it directly supports an applied use case. Proposals for entirely new model architectures must include strong justification and demonstrate feasibility within program constraints. Use cases of interest include, but are not limited to: Health Care : clinical decision support, patient care, public health management Life Sciences : drug discovery, genomics, diagnostics Financial Services : fraud detection, underwriting, wealth management Robotics : autonomous navigation, human-robot interaction, precision manipulation Advanced Manufacturing : Digital twins for prototypes, predictive maintenance, supply chain Optimization Climate Tech : carbon reduction, energy efficiency, sustainable materials Education & Society : personalized learning, workforce development, public-interest technology Full details included in the solicitation linked below. Team Lead: Sabrina Mansur, proposals@masstech.org Date Issued: Wednesday, January 28, 2026 Questions Due : Friday, February 6, 2026 at 5:00 P.M. Answers to Questions Posted: Wednesday, February 18, 2026 by 5:00 P.M. Applications Due: Friday, February 27, 2026 by 5:00 P.M. Download Application Documents: Download Solicitation No. 2026-JAII-05 (PDF) Download Attachment C - Budget Template (Excel) Get news from the Massachusetts AI Hub delivered to your inbox. This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. By submitting this form, you are consenting to receive marketing emails from: Application snapshot: target deadline February 27, 2026; published funding information Not specified; eligibility guidance Qualified individuals and firms, including Massachusetts small businesses. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
New Computer Models for Industry Using HPC is sponsored by European Commission. Develops AI/ML models for business impact using HPC, supporting AI engineering curriculum with ethical guidelines. Official opportunity description and requirements excerpt: EuroHPC JU call for proposals for AI for science and collaborative EU projects - LUMI EuroHPC JU call for proposals for AI for science and collaborative EU projects EuroHPC JU call for proposals for AI for science and collaborative EU projects The EuroHPC JU has opened a continuous call for proposals for AI for science and collaborative EU projects. This call will support AI applications for science, with a focus on ethical Artificial Intelligence, Machine Learning, and cutting-edge foundation Models and Generative AI, including Large Language Models. This mode is intended for scientific research activities that rely on AI models as part of their research workflow. This access mode covers all types of scientific users (whether funded or not by national or European programmes), users from public sector, as well as industrial users participating in R&I projects funded by EU Programmes such as Horizon Europe or the Digital Europe Programme. All other types of industrial users should target the AI for Industrial Innovation Access modes . The call is continuously open, with pre-defined cut-off dates that will trigger the evaluation of the proposals submitted up to this date. The next cut-off dates are 27 February, 30 April, 30 June, 31 August, 30 October, 11 December 2026. More information how to apply on the EuroHPC JU website . QMill achieves record-breaking quantum circuit compression with LUMI supercomputer Harnessing LUMI: Polish researchers unveil atomic-level insights into catalytic materials Call for proposals open for Finnish researchers Call for resources open for Norwegian researchers Breakthrough science enabled by LUMI Order our newsletter and stay updated! LUMI supercomputer is hosted by the LUMI consortium. Application snapshot: target deadline rolling deadlines or periodic funding windows; published funding information Up to €300,000; eligibility guidance EU organizations justifying new AI model needs Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
NASA Fellowship Activity (OSTEM) is sponsored by National Aeronautics and Space Administration (NASA). Supports graduate-level students in AI and other STEM fields to conduct research aligned with NASA's mission and gain hands-on technical competencies. Application snapshot: target deadline February 27, 2026; published funding information $20,000 - $35,000; eligibility guidance U.S. citizens enrolled in a graduate degree program (Master's or Ph.D.) at an accredited U.S. university. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Agentic AI-EnableD CardioVascular CAre TransfOrmation (ADVOCATE) is sponsored by Advanced Research Projects Agency for Health (ARPA-H). A competitive Innovative Solutions Opening (ISO) seeking teams to develop trusted, autonomous clinical AI agents for continuous cardiovascular patient care and monitoring. Official opportunity description and requirements excerpt: An official website of the United States government The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. Open Funding Opportunities Submission Resources and FAQs Commercialization Services ARPANET-H Innovation Network Other Transaction Community What is a Program Manager? Program Manager Application Agentic AI-Enabled Cardiovascular Care Transformation What if an FDA-authorized clinical agentic AI could provide safe and effective cardiovascular care to every American? Over 200,000 Americans die each year from preventable impacts of cardiovascular disease (CVD), the leading cause of death in the U.S. Despite spending almost half a trillion dollars on heart disease alone, the US experiences much worse outcomes than many other similar nations. Treatments for managing heart health with diet, exercise, and affordable medications are simple, inexpensive, and effective. Yet nearly half of American counties lack a cardiologist, meaning that many patients across the country are missing out on life-saving care and interventions. Clinical artificial intelligence (AI) agents could help fill this gap, but we don’t currently have a clear way to ensure they consistently operate safely and effectively at scale in real-world settings. The Agentic AI-EnableD CardioVascular CAre TransfOrmation (ADVOCATE) program aims to transform advanced cardiovascular disease management with an agentic AI system that can provide 24/7 holistic clinical care. ADVOCATE will support the development of clinical AI agents that can be trusted to autonomously adjust changes in appointments, medications, diet, and exercise. In parallel, ADVOCATE will support the development of a supervisory AI "overseer” to monitor clinical AI agents after they have been deployed in clinical practice to ensure their continued safety and efficacy. ADVOCATE's transformative goal is to create a first-of-its-kind, reliable, FDA-authorized clinical agentic AI system that serves around the clock as a new, digital member of the clinical care team. Together, these efforts will enable an integrated, holistic cardiovascular care platform to provide real-time guidance that patients and care teams can act on. The program will partner with health systems to successfully deploy the technology across diverse care environments—from major health systems to rural clinics and community settings. Harness the power of American innovation to quickly develop agentic AI that is safe, transparent, and effective in healthcare settings. Unleash the best technical experts across sectors to tackle a leading cause of death in the U.S. and accelerate pathways for regulatory and reimbursement approvals. Build Application snapshot: target deadline February 27, 2026; published funding information $1,000,000 - $9,000,000; eligibility guidance Nonprofits, universities, small businesses, and for-profit industry teams. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Kavli Institute Collaboration Kickstarter (KICK) Grants is sponsored by Kavli Foundation. A competitive grant mechanism intended to provide funds for members of Kavli Institutes to work with other Kavli Institutes to kickstart new collaborative research projects or scholarly pursuits beyond what is possible at their home institution. Geographic focus: International Focus areas: Astrophysics, Nanoscience, Neuroscience, Theoretical Physics Official opportunity description and requirements excerpt: Funding Opportunities | Kavli Foundation The Kavli Foundation was established in 2000 by Fred Kavli, a Norwegian-American entrepreneur and champion of science, with a vision to advance science for the benefit of humanity. Board of Directors and Trustees The Kavli Foundation identifies potentially transformative ideas and catalyzes opportunities that unlock the benefits of science to create lasting impact for science and society. Search for Life in the Universe Frontiers of Quantum Materials Nanoscience for Sustainability Neurobiology and Changing Ecosystems Observe and Measure the Mind Open Data in Neuroscience Theoretical Physics Institutes Ethics, Science, and the Public AAAS Kavli Science Journalism Awards NAS Fred Kavli Endowment Fund In fulfilling the mission of the foundation, we strive for operational excellence as stewards of our founder’s legacy. Convening Principles and Protocols Astrophysics Nanoscience Neuroscience Science and Society Theoretical Physics Apply Applicants from Phase I and their lab members Kavli Institute Members Kavli Institute Researchers Kavli Institutes Kavli Prize Laureates Other Kavli Affiliates Apply FutureHouse The Klaus Tschira Foundation U.S. National Science Foundation Apply The Kavli Foundation invites applications from Kavli affiliates to nominate an individual who has experienced disruption in their work, or interruption of previously committed scholarship or grant funds, to be considered for a Kavli Scholar award. Funding Period Up to 2 years 2026 AI-for-Science Postdoctoral Fellowship Deadline February 13, 2026 The Kavli Foundation invites applications for a Kavli-sponsored 2026 AI-for-Science Fellow to pursue an independent, AI-enabled research project in neuroscience through FutureHouse's Independent Postdoctoral Fellowship program. Communication and Public Engagement Skill Building Sessions The Kavli Foundation invites applications for funding from Kavli Institutes to host sessions or workshops to build communication and public engagement skills in your Kavli Institute community. Amount Up to 50% of cost, up to $15,000 The Kavli Foundation invites applications from Kavli affiliates to nominate an individual who has experienced disruption in their work, or interruption of previously committed scholarship or grant funds, to be considered for a Kavli Scholar award. Funding Period Up to 2 years Science and Society Sparks Phase II The foundation is creating a virtual program to explore and discuss the complex relationship between science and society and is accepting applications for researchers’ time to participate. This is Phase II of a two-phase process. Applicants from Phase I and their lab members 2025 NeuroData Discovery Award The Kavli Foundation invites Project Applications for one-year grants to generate new discoveries from reanalysis of data sets in the NWB format. The application should be for a project using publicly available data and is open Application snapshot: target deadline February 28, 2026; published funding information $10,000 - $120,000; eligibility guidance Proposals must involve at least two current members of different Kavli Institutes. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
PlantMap3D Regional Conservation Partnership Program (RCPP) is sponsored by USDA Natural Resources Conservation Service (NRCS). AI-powered program using farm equipment data to optimize fertilizer needs from cover crops, reducing costs and improving soil/water quality in Chesapeake Bay watershed (MD, DE, PA). Primarily for farmers in those states via agribusiness partners. Official opportunity description and requirements excerpt: How to Apply to RCPP | Natural Resources Conservation Service An official website of the United States government **Official websites use .gov** A **.gov** website belongs to an official government organization in the United States. **Secure .gov websites use HTTPS** A **lock** ( ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. Natural Resources Conservation Service ====================================== U.S. Department of Agriculture Conserving our natural resources is a vital part of creating and maintaining healthy ecosystems on our nation’s lands. View All Conservation Basics Natural Resource Concerns * Invasive Species and Pests View All Natural Resource Concerns * Invasive Species and Pests View All Natural Resource Concerns Featured ### Soil Science NRCS delivers science-based soil information to help farmers, ranchers, foresters, and other land managers effectively manage, conserve, and appraise their most valuable investment — the soil. For 90 years, we’ve helped America’s farmers, ranchers, and landowners conserve our nation’s resources through our voluntary programs and science-based solutions. View All Getting Assistance * Conservation Technical Assistance Helps producers identify conservation objectives and a roadmap for conservation on their operation. * Conservation Concerns Tool Use this tool to learn about natural resource concerns that may impact your ag operation (farmers.gov). * Engineering NRCS applies sound engineering tools and principles to plan, design, and implement conservation practices and systems through delegated approval authority. * Technical Service Providers Technical service providers offer planning, design, and implementation services to agricultural producers on behalf of NRCS. * Act Now Enables states to pre-approve applications when they meet or exceed a state's pre-determined minimum ranking score. * Applications and Forms Find more information on how to apply for NRCS conservation programs. * How to Apply Follow our step-by-step process to get started making improvements on your land with our one-on-one conservation assistance. * Payment Schedules Review the amount and availability of financial assistance for selected conservation practices in your state. * Ranking Dates Applications for NRCS conservation programs are ranked and funded at key times throughout the year. Compliance and Cultural Resources * Conservation Compliance: Wetlands and Highly Erodible Land Provisions To maintain eligibility for most USDA programs, producers must comply with wetland conservation provisions. * Cultural Resources NRCS programs are administered following the National Historic Preservation Act and other laws. * Environmental Compliance NRCS programs are administered following the National Environmental Policy Act. * Disaster Recovery NRCS can help ag producers and communities recover when natural disasters strike. * Nutrient Management This practice helps producers reduce Application snapshot: target deadline February 28, 2026; published funding information Funding amounts vary by project scope and award track.; eligibility guidance Farmers in MD, DE, PA; applies through agribusiness partners like Willard Agri-Service Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Rural Business Development Grant (RBDG) - New Hampshire is sponsored by USDA Rural Development. Funds technical assistance and training for small rural businesses, specifically allowing for rural distance learning networks and technology-based economic development programs. Official opportunity description and requirements excerpt: Find the right grant for your organization Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state. e.g. youth mental health, clean energy, marine conservation Free · No account required · Powered by AI across the world's largest grants + funders database Currently focused on US federal, state, and foundation grants. Granted is making fundraising less tedious, more accessible, and more successful for everyone. Contact Privacy Terms @GrantedAI Rural Business Development Grants (RBDG) - Vermont/New Hampshire (2026) | Granted | Granted AI Home / Grants / USDA Rural Development / Rural Business Development Grants (RBDG) - Vermont/New Hampshire Active USDA Rural Development · 2026 Rural Business Development Grants (RBDG) - Vermont/New Hampshire Agency USDA Rural Development Funding $10,000 - $50,000 Deadline February 27, 2026 (9 days remaining) Eligibility Nonprofits, public bodies, and federally recognized tribes primarily serving rural areas with populations under 50,000. Start Your Application with AI Save Rural Business Development Grants (RBDG) - Vermont/New Hampshire is sponsored by USDA Rural Development. Provides funding to assist with economic development planning and the financing or expansion of rural businesses, including technical assistance for agricultural equipment modernization. Official opportunity description and requirements excerpt: Rural Business Development Grants in Vermont and New Hampshire | Rural Development An official website of the United States government **Official websites use** A **.gov** website belongs to an official government organization in the United States. **Secure websites use HTTPS** A **lock** () or **https://** means you’ve safely connected to the website. Share sensitive information only on official, secure websites. Rural Development U.S. Department of Agriculture * Contact RD Human Resources * Careers at Rural Development * Director of State Office Operations * Chief Operating Officer * Rural Business-Cooperative Service * Rural Utilities Service * Better Grants Better Service (BGBS) * Healthy Food Financing Initiative * Interagency Working Group on Cooperative Development * Substantially Underserved Trust Area (SUTA) * Cybersecurity for Water and Wastewater Systems * Community Facilities Programs * Multifamily Housing Programs * Single Family Housing Programs * Telecommunications Programs * Water & Environmental Programs * Program Support Services * General Terms and Conditions * General Terms and Conditions - Legacy View all General Terms and Conditions * For Water & Environmental Engineers * Rural Development Disaster Assistance View all Programs & Services * Stakeholder Announcements * Federal Funding Opportunities ### **Ohio Feed Mill Modernizes with USDA Lending Partnership** Towering over the main intersection of Baltic, Ohio, is the Gerber & Sons, Inc. feed mill. Since it first started in 1905, Application snapshot: target deadline February 28, 2026; published funding information $10,000 - $50,000; eligibility guidance Nonprofit corporations, public bodies, and federally recognized tribes primarily serving rural areas in New Hampshire. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Transforming the Workforce for the 21st Century Grant (Life Sciences) is sponsored by City of Boston – Mayor’s Office of Workforce Development. Funds nonprofit initiatives supporting job placement into life‑sciences occupations (may include healthcare tech/workforce). Official opportunity description and requirements excerpt: Workforce Development Grantmaking | Boston.gov An official website of the City of Boston. Official websites use .boston.gov A .boston.gov website belongs to an official government organization in the City of Boston. Secure .gov websites use HTTPS ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure Search Boston.gov with AI Get direct answers to your questions about City services using our new AI-powered search. While we strive for accuracy by sourcing directly from Boston.gov, AI can occasionally provide unexpected results. You can help us improve by using the feedback buttons below each answer. Have questions? Contact us at ai@boston.gov. How do I pay a parking ticket? What is my trash pickup schedule? State law requires the City to complete an annual census to update voter and jury rolls. Click the link to learn more and complete your census. Workforce Development Grantmaking Workforce Development Grantmaking The Office of Workforce Development (OWD) partners with 100+ community based organizations annually, providing over $10 million in grants through a variety of funding sources. OWD administers small grants, multiyear special projects, and evaluations in an effort to provide Boston residents with opportunities to access good jobs and greater economic stability. Bridge Program Training Provider Request For proposals The Office of Workforce Development (OWD) is seeking a Bridge Program Training provider to: provide expertise in Commercial Driver’s License (CDL) training, to develop and deliver a job readiness curriculum for adult learners, and to provide case management and job coaching expertise. The trainer will create a pipeline of qualified students participating in training to obtain a Commercial Driver’s License Permit (CDLP), Tanker endorsement, and Hoisting License. All responses to this RFP must be returned no later than 5:00 p.m. on February 20, 2026 . A Q&A was held on Thursday, January 29, 2026 , at 12:00 p.m. EST. CDL Training Provider Request For proposals The Office of Workforce Development (OWD ) is seeking a CDL training provider to provide Theory and Behind-the-Wheel training for Boston residents seeking a CDL Class B license in the Commonwealth of Massachusetts. All responses to this RFP must be returned no later than 5:00 PM on February 20, 2026 . A Q&A was held on Thursday, January 29, 2026 , at 10:00 AM EST . Alternative Education Initiative (AEI) Through the Alternative Education Initiative (AEI), the City of Boston supports youth who are working toward their high school diploma or its equivalent. AEI provides funds to alternative education programs where youth also receive wrap-around Application snapshot: target deadline February 28, 2026; published funding information $100,000–$500,000; eligibility guidance Qualified non‑profits in Boston in workforce development/life sciences Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
AI Research Institutes is sponsored by National Science Foundation (NSF). Establishes multi-institution centers for AI research, including societal dimensions that could address vulnerable populations. Official opportunity description and requirements excerpt: Artificial Intelligence | NSF - U.S. National Science Foundation An official website of the United States government Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS. or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites. All NSF IT systems, including NSF.gov, will be unavailable from Saturday, Feb. 21 at 7:00 a.m. EST to Sunday, Feb. 22 at 8:00 p.m. EST due to the relocation of the NSF headquarters. We apologize for any inconvenience. Research Experiences for Undergraduates For Early-Career Researchers Proposal & Award Policies & Procedures Guide (PAPPG) How We Make Funding Decisions Request a Change to Your Award Proposal & Award Policies & Procedures Guide (PAPPG) NSF Public Access Repository Who to Contact With Questions Facilities and Infrastructure Updates on NSF Priorities Our Directorates & Offices Biological Sciences (BIO) Computer & Information Science & Engineering (CISE) Integrative Activities (OIA) International Science & Engineering (OISE) Mathematical & Physical Sciences (MPS) Social, Behavioral & Economic Sciences (SBE) Technology, Innovation & Partnerships (TIP) National Center for Science & Engineering Statistics (NCSES) National Science Board (NSB) View image credit & caption National AI Research Institutes National AI Research Resource Pilot Share on X (formerly known as Twitter) The U.S. National Science Foundation has invested in artificial intelligence research since the early 1960s, setting the technical and conceptual foundations driving today's AI innovations. AI-driven discoveries and technologies are transforming Americans' daily lives and promising practical solutions to global challenges, from food production and supply chains to healthcare and education. As a major federal funder of AI research, NSF is making investments that will catalyze new discoveries, translate this knowledge into the hands of the American enterprise and build the workforce needed to drive U.S. global leadership and economic competitiveness. What is the future of AI? In this eight-minute video, learn about AI and its potential applications. With investments of over $700 million each year, NSF is: Fostering the next generation of breakthroughs We invest in fundamental AI research, accelerate AI-powered discovery across all fields of science and engineering and deepen the understanding of economic and societal implications of widespread AI adoption. Translating AI research to impact We expand pathways to transition AI innovations into practice and power regional innovation and economic development. Empowering AI innovation through research infrastructure We provide the research community with access to integrated computational, data and software resources with hands-on support and training. Learn about the National Artificial Application snapshot: target deadline February 28, 2026; published funding information $10,000,000 - $20,000,000; eligibility guidance Consortia of universities and partners Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Massage Therapy Foundation Research Grant is sponsored by Massage Therapy Foundation. Larger-scale research grants on massage therapy’s role in health or flexibility; ideally suited for projects integrating AI methods under the Foundation’s AI/ML policy. Official opportunity description and requirements excerpt: Research Grant Application – Massage Therapy Foundation Research Grant Application MTF’s 2026 Research Grant and Research Support Award application processes are now open! The Massage Therapy Foundation offers two types of research grants: Research Support Awards (up to $30,000) and Research Grants (over $30,000). Massage Therapy Foundation research grants and awards are awarded to individuals or teams conducting studies that promise to advance our understanding of specific therapeutic applications of massage, public perceptions of and attitudes toward massage therapy, and the role of massage therapy in health care delivery. MTF research grants and awards support high quality, independent research that contributes to the basic science of massage therapy application, including applied research investigating massage therapy as a health/mental health treatment and/or prevention modality. The research grants and awards are available to investigators who have experience in the relevant field of research, and are presently associated with a university, independent research organization, or other institution qualified to act as Sponsoring Organization. MTF Research Support Award (up to $30,000) The 2026 Research Support Award application deadline is February 28, 2026. The maximum award is $30,000 for a one-year project period. 2026 Research Support Award Guidelines >> 2026 Research Support Award Application Instructions >> Research Support Award Ethics Review Form>> MTF Applicant Artificial Intelligence (AI) and Machine Learning Policy>> MTF Research Grant (over $30,000) The 2026 Research Grant LOI application deadline is February 28, 2026. Amount awarded is between $30,000 to $300,000 and must be used in the specific time period for which it has been awarded (can be used over the course of multiple years). 2026 Research Grant Guidelines >> 2026 Research Grant Application Instructions >> Research Grant Ethics Review Form>> MTF Applicant Artificial Intelligence (AI) and Machine Learning Policy>> “The MTF grant is helping me to advance my research aimed at developing effective and innovative strategies to assist caregivers to reduce their stress and enhance their own well-being as they manage the many challenges associated with caring for a loved one who has a serious medical condition. With the help of this grant, our research team collected critical data needed to inform the implementation and adaptation of a massage therapy intervention for caregivers in hospital settings. We plan to use this preliminary data to support a larger federal grant application that will enable us to conduct a larger intervention trial.” MTF Research Support Award Recipient “I believe in the power of massage and its impact on health and wellness. Receiving this grant has helped me to introduce research to the next Application snapshot: target deadline February 28, 2026; published funding information $30,000–$300,000; eligibility guidance Nonprofits or investigators with sponsoring institutions (universities, independent research organizations). Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
CISE Future Computing Research (Future CoRe) is sponsored by National Science Foundation (NSF). Funds computing education research (CER) including AI education interventions, workforce pathways, and human-AI interaction in computing innovation. Official opportunity description and requirements excerpt: Computer and Information Science and Engineering : Future Computing Research (Future CoRe) | NSF - U.S. National Science Foundation An official website of the United States government Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS. or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites. Research Experiences for Undergraduates For Early-Career Researchers Proposal & Award Policies & Procedures Guide (PAPPG) How We Make Funding Decisions Request a Change to Your Award Proposal & Award Policies & Procedures Guide (PAPPG) NSF Public Access Repository Who to Contact With Questions Facilities and Infrastructure Updates on NSF Priorities Our Directorates & Offices Biological Sciences (BIO) Computer & Information Science & Engineering (CISE) Integrative Activities (OIA) International Science & Engineering (OISE) Mathematical & Physical Sciences (MPS) Social, Behavioral & Economic Sciences (SBE) Technology, Innovation & Partnerships (TIP) National Center for Science & Engineering Statistics (NCSES) National Science Board (NSB) Computer and Information Science and Engineering : Future Computing Research (Future CoRe) Computer and Information Science and Engineering : Future Computing Research (Future CoRe) NSF's implementation of the revised 2 CFR NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website . These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024. Important information for proposers All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement. Updates to NSF Research Security Policies On July 10, 2025, NSF issued an Important Notice providing updates to the agency's research security policies, including a research security training requirement, Malign Foreign Talent Recruitment Program annual certification requirement, prohibition on Confucius institutes and an updated FFDR reporting and submission timeline. Supports foundational and interdisciplinary research across all aspects of computing, communication and information science and engineering to advance the future of technology, systems and human-centered innovation. Supports foundational and interdisciplinary research across all aspects of Application snapshot: target deadline March 1, 2026; published funding information Up to $1,000,000 over 4 years; eligibility guidance Universities, research institutions Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Education Innovation and Research (EIR) Program is sponsored by U.S. Department of Education (ED). Funds innovative education practices, including STEM/AI/CS education models for rural and underserved communities, supporting nonprofit-led farm and manufacturing education initiatives. Official opportunity description and requirements excerpt: Education Innovation and Research | U.S. Department of Education An official website of the United States government Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. U.S. Department of Education U.S. Department of Education Higher Education Homepage Find a College or Educational Program Federal Student Aid (FSA) Career and Technical Education Information for Military Families and Veterans 8 Keys to Veteran Success Vocational Rehabilitation Adult Education and Family Literacy Act (AEFLA) Birth to Grade 12 Education Birth to Grade 12 Education Homepage Early Childhood Education Research on Early Learning Elementary and Secondary Education Locate a school or district Find Your State’s Performance Report Career and Technical Education Resources for Parents and Students Family Partnership and Engagement Student Records and Privacy Laws related to Preschool to Grade 12 Education Students with disabilities Teaching and Administration Homepage Lead and Manage My School Student Engagement and Attendance Center Safe Learning Environments Disaster and Emergency Response School Safety and Security Research-Based Practices (What Works Clearinghouse) Kids’ Zone Educator Corner Grants and Programs Homepage Pell Grants and Scholarships Getting Started with Grant Applications Grants for Birth to Grade 12 Grants for Higher Education Fund for the Improvement of Postsecondary Education (FIPSE) Grants for Special Populations Students with Disabilities Economically Disadvantaged Students US Presidential Scholars Program Preschool to Grade 12 Education Every Student Succeeds Act (ESSA) Preschool to Grade 12 Education Policy Individuals with Disabilities Section 504 and 504 Plans Grants For Special Populations Grants For Economically Disadvantaged Students Education Innovation and Research Office of Elementary and Secondary Education (OESE) Sonji Jones-Manson, Ph.D. Congressionally Funded/Appointed 10/14/2025 - 11:59 PM EDT Eligibility and Historical EIR Competition Applicant Info Grantee Presentations and Papers Aligned with the Trump Administration’s focus on educational excellence and opportunity, the Education Innovation and Research (EIR) Program provides funding to: create, develop, implement, replicate, or take to scale entrepreneurial, evidence-based, field-initiated innovations to improve student achievement and attainment for high-need students; and rigorously evaluate such innovations. The EIR program is designed to generate and validate solutions to persistent educational challenges and to support the expansion of innovative solutions to serve larger numbers of students. This program supports engagement by helping to scale and sustain initiatives at various stages that improve student outcomes. The EIR is established under section 4611 of the Elementary and Secondary Education Act (ESEA), as amended by Every Student Application snapshot: target deadline March 1, 2026; published funding information $200,000 - $15,000,000; eligibility guidance Nonprofits, IHEs, with focus on rural/underserved students Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
DOE Scholars Program (AI/ML Track) is sponsored by U.S. Department of Energy (DOE). An internship program providing stipends and hands-on experience in AI and computational science at DOE laboratories and offices. Application snapshot: target deadline March 1, 2026; published funding information $700 - $750/week + Travel; eligibility guidance U.S. citizens who are undergraduates, graduate students, or recent graduates in STEM fields. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
NSF CyberCorps(R) Scholarship for Service is sponsored by National Science Foundation. Provides scholarships for cybersecurity education, which can incorporate AI and design elements for secure systems. Official opportunity description and requirements excerpt: CyberAICorps Scholarship for Service (CyberAI SFS) | NSF - U.S. National Science Foundation An official website of the United States government Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS. or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites. All NSF IT systems, including NSF.gov, will be unavailable from Saturday, Feb. 21 at 7:00 a.m. EST to Sunday, Feb. 22 at 8:00 p.m. EST due to the relocation of the NSF headquarters. We apologize for any inconvenience. Research Experiences for Undergraduates For Early-Career Researchers Proposal & Award Policies & Procedures Guide (PAPPG) How We Make Funding Decisions Request a Change to Your Award Proposal & Award Policies & Procedures Guide (PAPPG) NSF Public Access Repository Who to Contact With Questions Facilities and Infrastructure Updates on NSF Priorities Our Directorates & Offices Biological Sciences (BIO) Computer & Information Science & Engineering (CISE) Integrative Activities (OIA) International Science & Engineering (OISE) Mathematical & Physical Sciences (MPS) Social, Behavioral & Economic Sciences (SBE) Technology, Innovation & Partnerships (TIP) National Center for Science & Engineering Statistics (NCSES) National Science Board (NSB) CyberAICorps Scholarship for Service (CyberAI SFS) CyberAICorps Scholarship for Service (CyberAI SFS) NSF's implementation of the revised 2 CFR NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website . These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024. Important information for proposers All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement. Updates to NSF Research Security Policies On July 10, 2025, NSF issued an Important Notice providing updates to the agency's research security policies, including a research security training requirement, Malign Foreign Talent Recruitment Program annual certification requirement, prohibition on Confucius institutes and an updated FFDR reporting and submission timeline. Supports scholarships and educational innovations that integrate AI and cybersecurity training to prepare a skilled Application snapshot: target deadline March 1, 2026; published funding information Full tuition + stipend; eligibility guidance Universities; US citizen students Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Visa Innovation Program Europe is sponsored by Visa Foundation. A collaborative platform for fintech startups to test, validate, and fast-track their solutions within Visa's network. The program focuses on specific themes such as AI and Agentic Commerce, B2B Money Movement, and Open Finance, providing participants with mentorship, proof-of-concept (PoC) opportunities, and potential pilot funding. Geographic focus: Europe Focus areas: Fintech, Artificial Intelligence, B2B Payments, Open Finance Application snapshot: target deadline March 1, 2026; published funding information Not specified; eligibility guidance Fintech startups and scale-ups with a market-ready solution or proof of concept in areas like AI, B2B payments, or digital wallets. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
DC Summer Fellowship 2026 is sponsored by Centre for the Governance of AI (GovAI). DC Summer Fellowship 2026 is sponsored by Centre for the Governance of AI (GovAI). A three-month full-time program in Washington, D. C. , for individuals seeking to launch or accelerate careers in AI governance and policy through research projects and networking. Official opportunity description and requirements excerpt: DC Summer Fellowship 2026 | GovAI Blog DC Summer Fellowship 2026 The DC Summer Fellowship is a three-month bipartisan opportunity designed to launch or accelerate impactful careers in American AI governance and policy. Participants deepen their understanding of the field, connect with a network of experts, and build their skills and professional profile, all while conducting a research project of their choice under expert guidance. The program emphasizes bipartisan engagement , rigorous analysis, and practical policy relevance, with a focus on how AI governance is shaped within the US political system. We welcome a wide range of applicants, from early-career individuals interested in entering the US AI policy field, to more experienced professionals looking to transition into emerging tech policy from adjacent fields. Applications for the DC Fellowship are now open. The deadline for applications is Sunday, March 1st, 2026 at 11:59PM ET. GovAI was founded to help decision-makers navigate the transition to a world with advanced AI. Our first research agenda, published in 2018, helped define and shape the nascent field of AI governance. Our team and affiliate community possess expertise in a wide variety of domains, including AI development best practices, risk analysis, the economics of AI, US-China relations, barriers to innovation, AI public policy, and AI progress forecasting. GovAI has alumni, affiliates, and staff with experience working in US government bodies including the National Security Council, the White House Office of Science and Technology Policy (OSTP), the Senate, Department of Commerce, and Department of Homeland Security; European government bodies including the EU AI Office and the UK AI Security Institute; for think tanks including the Center for Strategic and International Studies (CSIS), Center for Security and Emerging Technology (CSET), Center for a New American Security (CNAS), RAND, the Heritage Foundation, and the Foundation for American Innovation (FAI); top AI companies including OpenAI, Anthropic, and Google DeepMind; and universities including Yale, Stanford, and MIT. GovAI researchers have provided expert input to decision-makers in government, industry, and civil society. Our researchers have also published in top peer-reviewed journals and conferences, including Science , FAccT , and NeurIPS . Seasonal Fellows join GovAI to conduct independent research on a topic of their choice, with mentorship from leading experts in the field. Each fellow is paired with a supervisor from the GovAI team or network. They spend the first two weeks of the fellowship exploring the AI policy landscape, before settling on a research proposal with input from their supervisors. The research could result in a report, white paper, journal article, Application snapshot: target deadline March 1, 2026; published funding information $21,000; eligibility guidance Individuals (early-career or experienced professionals) with the right to work in the US. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
CyberAICorps® Scholarship for Service (SFS) (CyberAI SFS) is sponsored by National Science Foundation (NSF). CyberAICorps® Scholarship for Service (SFS) (CyberAI SFS) is sponsored by National Science Foundation (NSF). Funds scholarship programs integrating AI and cybersecurity education, including human interaction with AI systems, experiential learning, and professional development. Official opportunity description and requirements excerpt: CyberAICorps Scholarship for Service (CyberAI SFS) | NSF - U.S. National Science Foundation An official website of the United States government Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS. or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites. All NSF IT systems, including NSF.gov, will be unavailable from Saturday, Feb. 21 at 7:00 a.m. EST to Sunday, Feb. 22 at 8:00 p.m. EST due to the relocation of the NSF headquarters. We apologize for any inconvenience. Research Experiences for Undergraduates For Early-Career Researchers Proposal & Award Policies & Procedures Guide (PAPPG) How We Make Funding Decisions Request a Change to Your Award Proposal & Award Policies & Procedures Guide (PAPPG) NSF Public Access Repository Who to Contact With Questions Facilities and Infrastructure Updates on NSF Priorities Our Directorates & Offices Biological Sciences (BIO) Computer & Information Science & Engineering (CISE) Integrative Activities (OIA) International Science & Engineering (OISE) Mathematical & Physical Sciences (MPS) Social, Behavioral & Economic Sciences (SBE) Technology, Innovation & Partnerships (TIP) National Center for Science & Engineering Statistics (NCSES) National Science Board (NSB) CyberAICorps Scholarship for Service (CyberAI SFS) CyberAICorps Scholarship for Service (CyberAI SFS) NSF's implementation of the revised 2 CFR NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website . These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024. Important information for proposers All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement. Updates to NSF Research Security Policies On July 10, 2025, NSF issued an Important Notice providing updates to the agency's research security policies, including a research security training requirement, Malign Foreign Talent Recruitment Program annual certification requirement, prohibition on Confucius institutes and an updated FFDR reporting and submission timeline. Supports scholarships and educational innovations that integrate AI and cybersecurity training to prepare a skilled Application snapshot: target deadline March 1, 2026; published funding information $500,000 - $2,500,000; eligibility guidance Universities with SFS programs Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
DC Summer Fellowship is sponsored by Centre for the Governance of AI (GovAI). A three-month professional fellowship in Washington, D.C., focusing on AI governance and policy research with expert mentorship. Application snapshot: target deadline March 1, 2026; published funding information $21,000; eligibility guidance Early-career individuals and professionals with the right to work in the U.S. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
| 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.
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.
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.
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.
Grant funding is only half the equation. Several programs provide the compute, data, and infrastructure that AI research demands—often at zero cost.
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. 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.
New AI funding opportunities, deadline alerts, and grant writing tips every Tuesday.
Use our free grant finder to search active federal funding opportunities by agency, eligibility, and deadline.
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