Free · No account required · Powered by AI across the world's largest grants + funders database
Currently focused on US federal, state, and foundation grants.
Free · No account required · Powered by AI across the world's largest grants + funders database
Currently focused on US federal, state, and foundation grants.
AI in Science and Society is sponsored by Schmidt Sciences. Funds the development of innovative AI tools that accelerate progress in engineering, physical sciences, and complex system design.
Official opportunity description and requirements excerpt:
2026 Science of Trustworthy AI RFP - Schmidt Sciences Opportunities for Funding Stay up to date on the latest news, stories and funding announcements. Science of Trustworthy AI 2026 Science of Trustworthy AI RFP Schmidt Sciences invites proposals for the Science of Trustworthy AI program , which supports technical research that improves our ability to understand, predict, and control risks from frontier AI systems while enabling their trustworthy deployment. May 17, 2026, 11:59PM AoE Tier 1: Up to $1M (1-3 years) Tier 2: $1M – $5M (1-3 years) Submit Applications via Survey Monkey Previous awards under program March 11, 2026, 10-11am ET. Register here April 15, 2026, 2-3pm ET. Register here This Request for Proposals is grounded in our Research Agenda , which defines the scientific scope and priorities. The questions in each subsection guide what we consider in scope; they are not an exhaustive checklist. Proposals need not match any question(s) verbatim, but should clearly advance the underlying scientific objectives of our research agenda and explain why the work advances the science of trustworthy AI. We expect strong proposals—especially at funding Tier 2—to take a clear stand on a small number of core questions and pursue them deeply, rather than addressing many agenda items superficially. The research agenda has three connected aims: Aim 1 : Characterize and forecast misalignment in frontier AI systems: why frontier AI training-and-deployment safety stacks still result in models learning effective goals that fail under distribution shift, pressure, or extended interaction. Aim 2 : Develop generalizable measurements and interventions: Advance the science of evaluations with decision-relevant construct and predictive validity, and develop interventions that control what AI systems learn (not just what they say). Aim 3 : Oversee AI systems with superhuman capabilities and address multi-agent risks: develop oversight and control methods for settings where direct human evaluation of correctness or safety isn’t feasible, and address risks that emerge from interacting AI systems. Preference will be given to proposals from collaborations among multiple PIs and labs. For Aim 3, we are considering grouping projects together to expedite rapid empirical progress on effective superhuman oversight. More broadly, we encourage collaboration across this agenda and expect to support shared compute and targeted convenings, where helpful. We invite applicants to apply to either or both funding tiers. Applicants may submit more than one proposal to each tier. Tier 1: Up to $1M (1-3 years) Tier 2: $1M-5M+ (1-3 years) Although we expect to fund projects at both tiers, we are most interested in ambitious Tier
Extracted from the official opportunity page/RFP to help you evaluate fit faster.
2026 Science of Trustworthy AI RFP - Schmidt Sciences Opportunities for Funding Stay up to date on the latest news, stories and funding announcements.
Science of Trustworthy AI 2026 Science of Trustworthy AI RFP Schmidt Sciences invites proposals for the Science of Trustworthy AI program , which supports technical research that improves our ability to understand, predict, and control risks from frontier AI systems while enabling their trustworthy deployment.
May 17, 2026, 11:59PM AoE Tier 1: Up to $1M (1-3 years) Tier 2: $1M – $5M (1-3 years) Submit Applications via Survey Monkey Previous awards under program March 11, 2026, 10-11am ET. Register here April 15, 2026, 2-3pm ET. Register here This Request for Proposals is grounded in our Research Agenda , which defines the scientific scope and priorities.
The questions in each subsection guide what we consider in scope; they are not an exhaustive checklist. Proposals need not match any question(s) verbatim, but should clearly advance the underlying scientific objectives of our research agenda and explain why the work advances the science of trustworthy AI.
We expect strong proposals—especially at funding Tier 2—to take a clear stand on a small number of core questions and pursue them deeply, rather than addressing many agenda items superficially.
The research agenda has three connected aims: Aim 1 : Characterize and forecast misalignment in frontier AI systems: why frontier AI training-and-deployment safety stacks still result in models learning effective goals that fail under distribution shift, pressure, or extended interaction.
Aim 2 : Develop generalizable measurements and interventions: Advance the science of evaluations with decision-relevant construct and predictive validity, and develop interventions that control what AI systems learn (not just what they say).
Aim 3 : Oversee AI systems with superhuman capabilities and address multi-agent risks: develop oversight and control methods for settings where direct human evaluation of correctness or safety isn’t feasible, and address risks that emerge from interacting AI systems. Preference will be given to proposals from collaborations among multiple PIs and labs.
Based on current listing details, eligibility includes: Universities and nonprofit research institutes. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $100,000 - $500,000 Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Schmidt Sciences - Humanities and AI Virtual Institute (HAVI) RFP is sponsored by Schmidt Sciences. Fosters research projects applying AI to solve complex humanistic and civic problems, emphasizing the intersection of social systems and advanced technology. Application snapshot: target deadline March 13, 2026; published funding information Up to $800,000; eligibility guidance Interdisciplinary teams including humanities scholars and technical researchers; open to for-profit entities in collaborative projects. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Humanities and Artificial Intelligence Virtual Institute (HAVI) RFP is sponsored by Schmidt Sciences. Humanities and Artificial Intelligence Virtual Institute (HAVI) RFP is sponsored by Schmidt Sciences. Supports interdisciplinary research projects that apply AI techniques to answer complex humanities questions or use humanistic insights to improve AI development. Official opportunity description and requirements excerpt: 2026 Humanities and Artificial Intelligence Virtual Institute (HAVI) RFP - Schmidt Sciences Opportunities for Funding Stay up to date on the latest news, stories and funding announcements. Humanities and AI Virtual Institute (HAVI) 2026 Humanities and Artificial Intelligence Virtual Institute (HAVI) RFP [ Read the full RFP ] Schmidt Sciences is requesting proposals to the Humanities and AI Virtual Institute (HAVI), aimed at fostering research in the digital humanities with a particular focus on artificial intelligence. Ideal projects will have co-PIs with expertises from both the humanities and AI and will address research questions from both domains. This request is open to universities and non-profits globally. March 13, 2026, 11:59PM EDT Level I: $100,000 – $299,999 Level II: $300,000 – $800,000 Estimated Number of Awards Previous awards under program January 20, 2026. View webinar here . February 24, 2026, 1PM EST. Register here . Schmidt Sciences’ Humanities and Artificial Intelligence Virtual Institute (HAVI) is a philanthropic initiative which intends to spur innovative, domain-specific research outcomes from humanities scholars through the integral application of AI-inspired tools and techniques as well as produce insights from the humanities that will advance the development of AI. Current AI models struggle with multilingual contexts, multimodal datasets, and the nuances of historical and cultural diversity, hindering their application in humanities disciplines. HAVI aims to address these limitations by fostering interdisciplinary collaborations between AI and humanities researchers, focused on developing and applying new AI techniques to answer complex and compelling humanities research questions. Our approach expects humanities scholars to play integral roles in AI development, while AI researchers gain deeper understanding of data, models, and problem spaces from humanistic perspectives. This collaborative framework aims to produce breakthrough results that advance both AI capabilities and humanities scholarship. Opportunities for Funding The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage {vendor_count} vendors Read more about these purposes Application snapshot: target deadline March 13, 2026; published funding information $100,000 - $800,000; eligibility guidance Universities and nonprofit organizations globally (requires interdisciplinary teams of humanities and AI researchers). Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Simons Foundation Science, Society and Culture is sponsored by Simons Foundation. Supports projects that engage underserved populations with science through creative learning and community-based programs. Application snapshot: target deadline rolling deadlines or periodic funding windows; published funding information $25,000 - $100,000; eligibility guidance 501(c)(3) nonprofits and educational institutions. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Society for Science STEM Research Grants is sponsored by Society for Science. Provides support to middle and high school teachers engaging students in authentic scientific research. Since 2017, $775,000 has been awarded to 367 teachers. Perfect fit for science fair preparation and student research projects. Official opportunity description and requirements excerpt: STEM Research Grants - Society for Science Scientific Integrity: A Core Value Regeneron Science Talent Search Regeneron International Science and Engineering Fair Thermo Fisher Scientific Junior Innovators Challenge The Jon C. Graff, PhD Prize Middle School Research Teachers Conference High School Research Teachers Conference National Leadership Council MIddle School Competition Alumni White House Photo Gallery Join the Society Alumni Network Close the sitewide search STEM Research Grants provide support to middle and high school teachers engaging their students in authentic scientific research. Since 2017, $775,000 has been awarded to 367 teachers. Priority is given to schools that lack access to funding for research equipment. Teachers can apply for up to $5,000 to purchase specialized equipment or $1,000 in preselected equipment to support many students in STEM research. For the purposes of this grant, a research project is defined as an independent investigation by a student involving experimentation, engineering design, or invention. The grant is not intended to support whole class sets of materials for traditional classroom instruction. Independent research projects are frequently entered into science fairs and other competitions. Have questions? Check out our FAQ’s here . 2025 STEM Research Grant Recipients Society for Science is proud to name 24 outstanding educators as recipients of its STEM Research Grants program, an initiative dedicated to expanding inquiry-driven science education in middle and high school classrooms nationwide. Receiving a total of $58,000 in research kits and funds, they are empowering students with the skills and experience needed to become tomorrow’s scientists, engineers and innovators. Learn more about the recipients Be notified when the 2026 application opens. “The impact of this opportunity is truly invaluable. Many of this year’s participants have never spent this much time in the outdoors and certainly have not conducted research in the field. The hope is that this experience will encourage these students to pursue science in their remaining years of high school as well as potentially college and careers!” Jeremy Jonas, Tucson High Magnet School, Tucson, AZ “Students interested in microbiology will have the opportunity to learn how to stain and plate bacteria. Many students in the past have shown interest, but we never had equipment to support their research. Now we do!” Carrie Cox, Chamberlain High School, Chamberlain, SD Join the Society Educators Facebook Group Connect with over one thousand fellow educators sharing their resources, advice, and success in supporting students in STEM research projects. Western North Carolina plants new STEM educator research community How AI is helping some educators teach science and research Educators keep Application snapshot: target deadline rolling deadlines or periodic funding windows; published funding information Up to $2,000 per teacher (research kits and funds); eligibility guidance Middle and high school teachers in the United States Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
Application snapshot: target deadline rolling deadlines or periodic funding windows; published funding information $100,000 - $500,000; eligibility guidance Universities and nonprofit research institutes.
Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
For Aim 3, we are considering grouping projects together to expedite rapid empirical progress on effective superhuman oversight. More broadly, we encourage collaboration across this agenda and expect to support shared compute and targeted convenings, where helpful. We invite applicants to apply to either or both funding tiers.
Applicants may submit more than one proposal to each tier. Tier 1: Up to $1M (1-3 years) Tier 2: $1M-5M+ (1-3 years) Although we expect to fund projects at both tiers, we are most interested in ambitious Tier 2 proposals that, if successful, would change what the field believes is possible for understanding, measuring, or controlling risks from frontier AI systems.
Schmidt Sciences aims to support the compute needs of ambitious and risky AI research. Applicants may request either funding for compute or access to Schmidt Sciences’ computing resources (subject to availability and terms). The computing resources offer access to cutting edge GPUs and CPUs, accompanied by large-scale data storage and high-speed networking.
Please see the application for more information.
Beyond compute, Schmidt Sciences offers a range of support: Software engineering support through the Virtual Institute for Scientific Software API credits with frontier model providers Opportunities to engage with the program’s community through convenings and workshops We invite individual researchers, research teams, research institutions, and multi-institution collaborations across universities, national laboratories, institutes, and nonprofit research organizations.
We are open globally and encourage collaborations across geographic boundaries. Indirect costs must be at or below 10% to comply with our policy . Proposals will be evaluated by Schmidt Sciences staff and external reviewers holistically.
Key considerations include: Research Agenda Fit. Does the proposal clearly engage with the intention behind the scientific questions and objectives in the research agenda? Scientific Quality and Rigor.
Is the proposed work technically sound, well-motivated, and capable of producing generalizable insight? Potential Impact. If successful, would it materially advance the science of trustworthy AI and is there a plausible argument for why this will meaningfully reduce risks from frontier AI systems (ideally through ambitious, field-shaping contributions)?
Feasibility and Scope. Is the project appropriately scoped for the requested budget and duration? Team Expertise.
Is the team well-suited to execute the proposed work, with relevant technical expertise, sufficient capacity, and a level of time commitment commensurate with the ambition of the project? Cost Effectiveness . Is the proposed budget reasonable and well-justified given the project’s goals and planned activities?
Tiers 1 and 2 have the same selection criteria, with a higher bar for tier 2 projects. For Tier 2, priority will be given to projects which are demonstrably a primary focus for the lead investigator(s). Common reasons proposals are non-competitive Proposals lack a core focus Proposals suggest tools/benchmarks/evaluations without a credible validity argument (e.
g. , construct validity, predictive validity, robustness under optimization pressure) Proposals describe vague methods (“we will explore…”) instead of concrete activities, experiments, analyses, and baselines Proposals do not state clearly what would happen if the project succeeds, and what we learn if it fails Opportunities for Funding The technical storage or access that is used exclusively for statistical purposes.
The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage {vendor_count} vendors Read more about these purposes
© 2026 Granted AI