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Application window closed May 1, 2026; check Google.org for next cycle.
Google. org's AI for Science Impact Challenge is a $30M global open call to empower researchers and organizations with funding, tools, and technical expertise to accelerate scientific breakthroughs using AI. Selected organizations receive between $500K and $3M USD and can participate in a Google.
org Accelerator with dedicated pro bono technical support from Google experts and Google Cloud credits. Focus areas include AI for Health and Life Sciences (genomics, brain mapping, disease understanding) and AI for Climate Resilience and Environmental Science (biodiversity, agriculture, living systems). The multi-month accelerator program supports high-impact solutions leveraging generative AI and agentic capabilities.
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Google. org Impact Challenge: AI for Science Applications are now open 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 April 17, 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
According to the current listing, eligibility includes: Any nonprofit charity, other nonprofit organization, public or private academic or research institution, or for-profit social enterprise company with a project that has a clear and explicit social impact purpose. Global eligibility. Confirm the full requirements in the official notice before applying.
The current listing shows $500,000 to $3,000,000 per selected organization. Total fund of $30 million across all awardees. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 1, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Google.org Impact Challenge AI for Science 2026 is funded by Google.org. Verify program details on the funder's official page before applying.
This listing is flagged as international in scope. Check the official notice for country-specific restrictions before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Sony Research Award Program is Sony's principal channel for funding external academic research, and the Focused Research Award is its collaborative track: up to 150,000 dollars for focused joint research between a university or research institute and Sony. The 2026 research areas are unusually broad for a corporate program and cover most of the modern AI stack alongside Sony's hardware interests - AI and large language models, computer vision, machine learning, robotics, human-computer interaction, affective computing, speech and language technologies, audio technologies, RF sensing, wireless communications, cybersecurity, sports technology, digital humans, generative AI, content creation and neural rendering, plus device-level areas including MicroLED and optical metasurfaces. For AI and robotics groups this makes it one of the wider corporate calls available, though the breadth is deceptive: Sony funds work that connects to its own research agenda, and proposals are strongest when there is an identifiable Sony research counterpart for the collaboration. Eligibility is tightly drawn around the principal investigator rather than the institution. The PI must be a full-time faculty member or researcher at a recognized institution - Assistant Professor, Associate Professor, Professor or equivalent researcher - and must be able to supervise PhD students. Co-PIs are permitted but must be from the same institution and meet the same requirements, which rules out the cross-institutional consortia common in public funding. The 2026 deadline is 15 September 2026 at 11:59pm Pacific, with a separate India-specific time given as 16 September 2026. Submission guidelines are on the Sony Research Award Program site.
The Meta Research PhD Fellowship supports doctoral students conducting research in areas central to Meta's technical agenda, with several of its annual award tracks dedicated to artificial intelligence and machine learning. Current AI-relevant tracks include AI System Hardware/Software Co-Design (high-performance AI algorithms spanning model compression, numerical optimization, benchmarking, and distributed inference and training), Applied Statistics (bias and variance estimation and correction in models and datasets, uncertainty quantification), AR/VR Human Understanding (efficient ML techniques that run on AR/VR devices), and Programming Languages (program synthesis, probabilistic and differentiable programming). Recipients receive two years of paid tuition and fees, a $42,000 annual stipend covering living expenses and conference travel, and a paid visit to Meta headquarters for the annual Fellowship Summit; the award carries no intellectual property claim on the student's research. The 2027 cycle opened August 3, 2026 with applications closing September 20, 2026, reference letters due in October 2026, and winners notified in January 2027.
OpenAI's AI and Teen Development Research Grant Program makes up to 5,000,000 US dollars available in grants of up to 1,000,000 dollars for independent research on how AI affects adolescent development and wellbeing. Applications opened 8 September 2026 at 8:00 AM PDT and close 6 October 2026 at 11:59 PM PST, with notifications by 13 November 2026, and submission is through the SurveyMonkey Apply platform. The published scope has four strands: teen usage patterns and developmental outcomes; AI's potential effects on young people's lives; the factors that cause those effects to differ across populations and contexts; and design interventions and safety mechanisms. The inclusion of the fourth strand is what separates this from a pure effects-measurement programme, since it invites work that proposes and tests product-level safeguards rather than only documenting harm or benefit. The third strand is equally notable: OpenAI is asking specifically about heterogeneity of effect, which is an implicit acknowledgement that aggregate findings about teen AI use have limited policy value. Review is rolling and conducted by internal researchers and outside experts. Non-profit applicants are preferred and for-profit organisations are explicitly not prioritised, and indirect costs are capped at 10 percent of the grant, both of which shape who can realistically compete.
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.
Read articleAs a generation of electricians, welders, and machinists retires with too few replacements, funders have poured more than a half-billion dollars into skilled-trades training — Lowe's $250M, BlackRock $100M, Google $50M, and more. It is one of the clearest philanthropic theses in 2026. Here is the funder landscape, why 'AI-proof' framing is driving it, and how a workforce nonprofit should position to win these grants.
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