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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
Based on current listing details, 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. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $500,000 to $3,000,000 per selected organization. Total fund of $30 million across all awardees. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 1, 2026. 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.
Google.org's $30 million global initiative funding nonprofits, social enterprises, and academic institutions partnering with governments to use generative and agentic AI to transform public services. Focus areas include health (expanding healthcare access through AI-powered service delivery), resilience (enhancing crisis preparedness, response, and recovery), and economy (improving public infrastructure and economic opportunity). Selected organizations receive multi-month Google.org Accelerator programming with dedicated technical support from Google AI experts.
LINGUA Africa Open Call for Inclusive AI Language Projects is sponsored by Microsoft AI for Good Lab, Bill & Melinda Gates Foundation, Masakhane African Languages Hub, and Google.org. This open call is designed to strengthen the language foundations needed for inclusive AI in Africa, addressing the underrepresentation of African languages in modern AI systems. It welcomes proposals focused on data creation and model or tool development.
The LinkedIn Future of Work Fund 2026 is a global philanthropic grant initiative that doubled its commitment to $3 million for 2026 to help nonprofit organizations prepare young people for a rapidly changing labor market shaped by artificial intelligence. Building on the inaugural 2025 round, the fund provides unrestricted grants of $200,000-$300,000 to organizations demonstrating clear approaches to AI literacy and digital skills training, career pathways using AI-enabled tools, and workforce adaptability programs. The fund prioritizes organizations serving young adults aged 18-24 facing structural barriers to employment, with geographic focus on France, Germany, India, United Kingdom, and United States. Selected organizations receive monetary grants plus strategic assistance from LinkedIn's workforce development ecosystem. Applications are reviewed by LinkedIn's Social Impact team along with an external panel of workforce development and AI experts.
The Alibaba Cloud AI Catalyst Program supports AI-focused startups and global AI firms with comprehensive resources including up to $120,000 in lifetime cloud credits, 2 billion free Model Studio tokens for access to Alibaba's generative AI platform, 1:1 Office Hours with AI experts covering products, solutions, and infrastructure, POC coupons, and invitations to Alibaba Cloud events worldwide. The program is designed to help AI startups accelerate their growth with technical, educational, and networking resources. Applications are reviewed within 4-5 business days, and successful applicants are notified via email. The program provides access to Alibaba Cloud's GPU infrastructure including H100s in the Singapore region, making it particularly attractive for APAC-focused AI startups. The promotion period runs from April 1, 2025 through March 31, 2026.
The Amazon Research Awards (ARA) Robotics Call for Proposals funds academic research advancing robotics technology for capable, safe, and intelligent robots operating alongside people. Research topics include AI for Robotics and Human-Robot Interaction, Autonomous Navigation, Manipulation in Cluttered and Unstructured Environments, Soft and Compliant Robotics, Perception and Computer Vision for Robotics, and Multi-Robot Systems. Awards consist of up to $50,000 in unrestricted research funds plus up to $50,000 in AWS Promotional Credits. This is a recurring program with calls typically issued in spring and fall cycles. Selected researchers gain access to Amazon robotics experts and potential collaboration opportunities.
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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