Healthy School Awards Program is sponsored by Blue Cross & Blue Shield Of Mississippi Foundation. Recognizes and rewards public K-12 schools in Mississippi that encourage healthy lifestyle behaviors and implement exemplary school health and wellness initiatives. Awards are given in categories based on school enrollment size, with one school designated as the Healthiest School in Mississippi. Geographic focus: Mississippi Focus areas: Healthy Eating, Physical Activity, Staff Wellness, Tobacco-Free Lifestyles

The Community Grants (New York and Pennsylvania Regions) program is a grant from the William G. McGowan Charitable Fund that supports nonprofits working in Monroe or Yates County, New York, or Lackawanna or Luzerne County, Pennsylvania. Grants average approximately $28,000 and can range from small amounts to six-figure commitments for program or operations support. Eligible applicants are 501(c)(3) organizations whose work addresses the foundation's goals. First-time applicants must submit a Letter of Inquiry (LOI) before applying. The April 2026 application deadline has passed; inquiries are also accepted on a rolling basis for future cycles.

The FFAR New Innovator in Food and Agriculture Research Award supports early-career tenure-track faculty conducting innovative research in food and agriculture, including AI, precision agriculture, and computational approaches. The award provides up to $150,000 per year for up to 3 years ($450,000 total), making it one of the most substantial early-career grants available in agricultural sciences. FFAR's research priority areas include agroecosystems, food systems, production systems, and scientific workforce development — all of which increasingly involve AI and data-driven technologies. Research must directly benefit U.S. agricultural interests. The program follows a nomination-based application process: the nomination period opened February 11, 2026, with nominations due March 18, 2026, and full applications due April 29, 2026. FFAR was established through the 2014 Farm Bill and builds public-private partnerships to match congressional funding with private sources. The foundation supports research addressing major food and agriculture challenges including precision agriculture technologies, crop monitoring systems, and data-driven farm management tools. Note: This award is contingent on funding availability as FFAR has limited programmatic funds remaining.

Schmidt Sciences invites proposals for the 2026 Science of Trustworthy AI RFP, funding technical research that advances the science of building trustworthy AI systems. The program addresses three interconnected research aims: understanding why frontier AI systems develop misaligned goals that fail under distribution shift or pressure (Aim 1), creating valid evaluations and interventions to control what AI systems learn (Aim 2), and developing oversight mechanisms for superhuman AI capabilities and managing multi-agent risks (Aim 3). Beyond direct funding, awardees receive computing resources including GPUs and CPUs, software engineering support, API credits with frontier model providers, and access to a research community. The program is open globally and encourages cross-institutional and cross-geographic collaborations. Indirect costs are capped at 10% of total direct costs.

The Intuitive Foundation Grants is a grant from The Intuitive Foundation that funds clinical research on robotic-assisted surgery at nonprofit institutions worldwide. Projects may study clinical outcomes comparing robotic versus traditional surgical techniques, imaging and visualization innovations, health economic analyses, or new robotic-assisted procedure development. Region-specific surgical specialty priorities apply: U.S. applicants should focus on thoracic and general surgery, while APAC, Europe, Africa, and South America applicants have distinct specialty priorities. Eligible applicants are principal investigators employed at nonprofit institutions globally. Grants are up to $75,000 per project for up to one year; the next Letter of Intent deadline is June 5, 2026, for funding beginning January 2027.

The Simons Foundation's Mathematics and Physical Sciences (MPS) division invites letters of intent for its Targeted Grants program, which supports high-risk theoretical mathematics, physics, and computer science research projects of exceptional promise and scientific importance. The foundation has been a major funder of deep learning theory research, having co-funded the Collaboration on the Theoretical Foundations of Deep Learning — a team of eleven research leaders from eight institutions worldwide addressing theoretical challenges of deep learning, extending its applicability, and developing new methods. Current priority areas include the mathematics of deep learning, generative AI theory, diffusion models, protein engineering applications of ML, and foundational machine learning research. The Simons Foundation distributes approximately $291 million in annual grants and is distinct from the Heising-Simons Foundation. This program targets fundamental theoretical advances rather than applied AI development.

Capacity Building Grants is sponsored by Foellinger Foundation Inc.. Supports Allen County nonprofits at critical moments in their organizational development. These grants help organizations improve governance, upgrade technology, develop staff, refine strategy, and improve program impact. The focus is on four key areas: Governance, Leadership, Financial Sustainability, and Program Impact. Geographic focus: Allen County, Indiana Focus areas: Organizational Effectiveness, Governance, Leadership, Financial Sustainability, Program Impact

The Patrick J. McGovern Foundation Data Practice Accelerator supports nonprofits working with complex datasets and analytical approaches to drive social impact. Selected cohort members receive up to $125,000 in funding plus intensive technical support including access to advanced data tools, industry-standard guidance from data scientists, engineers, and program managers. The program's goal is to de-risk learning by creating a space for nonprofits to build capacity for advanced data management, analytics, AI tools, and governance approaches. Previous cohorts focused on themes like Data at the Nexus of Climate and Health. The program operates on a cohort-based model with curated peer-to-peer learning.

The Simons Foundation Targeted Grants in Mathematics and Physical Sciences (MPS) support high-risk projects of exceptional promise and scientific importance on a case-by-case basis, with typical grants providing funding for up to five years. The program area explicitly includes Mathematics of Deep Learning, making it directly relevant to theoretical AI research. The MPS division funds theoretical mathematics, theoretical physics, and theoretical computer science, with the Mathematics of Deep Learning track supporting research into the mathematical foundations underlying modern AI systems including optimization theory, generalization bounds, neural network expressivity, and statistical learning theory. This is one of the few major foundation programs specifically funding the mathematical underpinnings of AI and deep learning. The Simons Foundation, endowed by Jim Simons (founder of Renaissance Technologies), is one of the largest private funders of basic science research. Applications are reviewed on a rolling basis with a deadline of July 1, 2026 for the current cycle. The foundation values novel mathematical approaches that could fundamentally advance our understanding of how and why deep learning works.

The Simons Foundation and NSF jointly fund research in the Mathematical and Scientific Foundations of Deep Learning (MoDL). This interdisciplinary program seeks to understand and develop theoretical foundations for deep learning networks, addressing gaps in understanding why deep learning works and enabling researchers to address its limitations, including vulnerability to data manipulation and adversarial attacks. Research topics include optimization theory for neural networks, generalization bounds, architectural design principles, robustness guarantees, and mathematical frameworks for understanding emergent capabilities. The program aims to bridge the gap between empirical AI success and theoretical understanding.

Longview Philanthropy's Extreme Power Concentration RFP funds research and projects that reduce the risk of catastrophic concentrations of power enabled by advanced AI. Priority areas include detection of and protection against power concentration attempts using AI capabilities (cyber, persuasion, military, biological), institutional resilience, democratic checks on AI deployment, and analysis of historical and emerging power concentration risks. The RFP supports two tracks: dedicated project grants at $100K to $2M per year for organizations and teams, and career transition funding for individuals moving into this neglected area of AI safety. Longview specifically encourages applicants from academia, policy organizations, think tanks, and operating nonprofits.