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Google. org Data + AI Program is sponsored by Google. org.
Google. org awarded $1 million to the University of Illinois Chicago to launch a Data + AI program, providing students with data and AI skills through specialized courses and experiential learning.
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Google. org Impact Challenge: AI for Science Applications are now closed GOOGLE. ORG IMPACT CHALLENGE: AI FOR SCIENCE Accelerating scientific breakthroughs with the power of AI AI is a critical lever to unlock scientific breakthroughs and understand the fundamental mechanisms of human health and climate systems.
Building on the success of the inaugural AI for Science fund , Google. org is launching a supercharged initiative at the intersection of artificial intelligence and scientific discovery. By empowering researchers with catalytic funding and technical expertise, we aim to accelerate our understanding of key scientific questions—achieving Nobel-level breakthroughs and enabling science at digital speed.
The Google. org Impact Challenge: AI for Science is a $30M global open-call designed to empower researchers and organizations with the funding, tools, and technical expertise they need to accelerate scientific breakthroughs. Beyond funding, organizations may participate in a Google.
org Accelerator and receive six months of dedicated pro bono technical support from Google experts and access to Google Cloud credits to help bring these projects to life. Nonprofits, social enterprises, and academic institutions submit their application for funding towards scientific projects that will help accelerate their social impact. Applications will be reviewed by Google.
org, Google subject matter experts, and external third-party specialists from our partner organizations, including Renaissance Philanthropy and the Centre for Public Impact. Additional selection criteria are detailed below. Applications close May 1, 2026.
Selected organizations will receive funding from Google. org (between $500K and $3M USD) and have the option to participate in a Google. org Accelerator, which supports organizations as they work to solve some of the world's most pressing scientific challenges by leveraging generative AI and agentic capabilities.
This multi-month program accelerates high-impact solutions through dedicated pro bono technical support from Google experts. Before applying, ensure your project can demonstrate the following: Scientific ambition & impact Projects must pursue high-impact research in the following areas: AI for Health & Life Sciences, AI for Climate Resilience & Environmental Science.
Proposals should be evidence-based and define clear, quantifiable success metrics. Innovative & responsible use of AI AI should be a core component of the solution, developed in alignment with Google’s Responsible AI Principles and shared via open-source licensing to benefit the public, or the solution should specifically enable future AI use cases (e.g. a foundational open dataset).
Applicants must provide a realistic execution plan, timeline, and budget. Teams must possess the necessary technical and domain expertise to successfully execute the proposed research. Scalability & sustainability Projects should demonstrate potential for scaled impact and/or relevance beyond their immediate scope.
Applicants are encouraged to articulate how their outputs will be discovered, adopted, and maintained across scientific domains and geographies. We’re particularly interested in proposals leveraging AI to help accelerate scientific breakthroughs in the fields of Health & Life Sciences and Climate Resilience & Environmental Science.
However, we remain open to exceptional proposals in other fields that offer significant impact with strong alignment across criteria. AI for Climate Resilience Accelerate scientific breakthroughs in the field of health and life sciences by supporting projects that decode the fundamental mechanisms of life and produce foundational models, agents, open datasets, and a predictive understanding of biology to revolutionize human health.
Previously funded recipients This project builds a foundational microbiological emulator that integrates biophotonics with deep learning to automate the detection of antimicrobial resistance, helping to significantly boost diagnostic speed from days to minutes, ultimately freeing up valuable clinical time, reducing the spread of drug-resistant infections, and streamlining patient care.
Technical University of Munich By integrating multi-scale biological data and an LLM interface, this initiative creates a "Google Maps" for human tissue that provides physicians with a holistic, spatially grounded view of cellular processes to enhance mechanistic diagnosis and intervention planning.
The University of Washington uses Fiber-seq and machine learning to create high-resolution maps of the human genome, helping to significantly boost the prediction of how genetic variations impact health, ultimately freeing up valuable research time, reducing genomic data complexity, and streamlining the path to personalized medical treatments.
AI for Climate Resilience Accelerate scientific breakthroughs that improve climate resilience, supporting projects that answer critical, unresolved questions about our planet’s living systems and/or enable novel approaches to better preserve those systems.
Previously funded recipients Innovative Genomics Institute This initiative develops an AI foundation model trained on cultivated rumen microbiomes to predict collective bacterial behavior and identify precise genetic interventions for mitigating enteric methane emissions.
This project leverages AI-guided pipelines and AlphaFold to predict disease resistance genes from plant and pathogen genomes, accelerating the breeding of resistant crops by identifying functionally relevant matching protein structures.
By implementing the "Hive Mind" methodology—a hybrid intelligence platform combining autonomous robotics, AI agents, and human expertise—this research discovers scalable, atomically engineered porous materials to capture atmospheric CO 2 and establish a new paradigm for solving global energy and health challenges.
Explore how Google is developing cutting-edge AI models to push the boundaries of scientific discovery and address global challenges. Frequently asked questions
Based on current listing details, eligibility includes: Universities and educational institutions offering data and AI programs. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Funding amounts vary based on project scope and sponsor guidance. 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.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The National Leadership Grants for Libraries Program (NLG-L) supports projects that address critical needs of the library and archives fields and have the potential to advance practice and strengthen library and archival services for the American public. Successful proposals will generate results such as new models, tools, research findings, services, practices, and/or alliances that can be widely used, adapted, scaled, or replicated to extend and leverage the benefits of federal investment. Applications to IMLS should both advance knowledge and understanding and ensure that the federal investment made generates benefits to society. Specifically, the goals for this program are to generate projects of far-reaching impact that: • Build the workforce and institutional capacity for managing the national information infrastructure and serving the information and education needs of the public. • Build the capacity of libraries and archives to lead and contribute to efforts that improve community well-being and strengthen civic engagement. • Improve the ability of libraries and archives to provide broad access to and use of information and collections with emphasis on collaboration to avoid duplication and maximize reach. • Strengthen the ability of libraries to provide services to affected communities in the event of an emergency or disaster. • Strengthen the ability of libraries, archives, and museums to work collaboratively for the benefit of the communities they serve. Throughout its work, IMLS places importance on diversity, equity, and inclusion. This may be reflected in an IMLS-funded project in a wide range of ways, including efforts to serve individuals of diverse geographic, cultural, and socioeconomic backgrounds; individuals with disabilities; individuals with limited functional literacy or information skills; individuals having difficulty using a library or museum; and underserved urban and rural communities, including children from families with incomes below the poverty line. Application Process: The application process for the NLG-L program has two phases; applicants must begin by applying for Phase I. For Phase I, all applicants must submit Preliminary Proposals by the September 20th deadline listed for this Notice of Funding Opportunity. For Phase II, only selected applicants will be invited to submit Full Proposals, and only those Invited Full Proposals will be considered for funding. Invited Full Proposals will be due March 20, 2024. Funding Opportunity Number: NLG-LIBRARIES-FY24. Assistance Listing: 45.312. Funding Instrument: G. Category: AR,HU. Award Amount: $50K – $1M per award.
The California Department of Education (CDE) Early Education Division is making approximately .7 million available to expand California State Preschool Program (CSPP) services statewide, appropriated under the 2021 Budget Act. Eligible applicants are local educational agencies (LEAs), including school districts, county offices of education, community college districts, and direct-funded charter schools—both current CSPP contractors and new applicants. Funding supports full-day/full-year or part-day/part-year preschool services for income-eligible children beginning in FY 2024–25. Awards are allocated by county based on Local Planning Council priority areas and application scores, with redistribution provisions if county allocations are underutilized.
F5 STEM Education and AI Grants is sponsored by F5. Global tech company F5's foundation offers grants to nonprofits focused on building the STEM pipeline for women and girls of color, with a newly added emphasis on AI literacy education. High priority is given to programs teaching AI fundamentals or using AI tools in education. In 2025, F5 will fund ten organizations worldwide.
Google.org is offering up to $3 million per organization across two AI challenges — one for government innovation, one for scientific breakthroughs. Eligibility, strategy, and what wins.
Read articleThe Google.org AI for Government Innovation Challenge offers $1-3M grants with an April 3 deadline. But it is part of a larger shift: tech philanthropy is becoming the R&D lab for public sector innovation.
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