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GenAI for Good Challenge for Open-Source Generative AI Solutions in Global South Health, Agriculture and Climate is sponsored by IEEE and International Telecommunication Union (ITU). The GenAI for Good Challenge, run by IEEE in collaboration with the ITU, funds technologists and innovators building open-source generative AI solutions for pressing development challenges in the Global South, focused on health, agriculture, or climate resilience and aligned wit…
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GenAI for Good Challenge - IEEE Humanitarian Technologies Responsible AI. Deployed for good. A global challenge connecting innovators and changemakers to tackle real-world problems in health, agriculture, and climate resilience.
Selected from more than 300 submissions across 79 countries by a cohort of 80+ distinguished industry and in-country experts, these three teams rose from a field of nine finalists to win the first GenAI for Good Challenge. They stood out for their vision, technical capability, and commitment to building solutions grounded in local needs and designed for sustainable impact.
Over the coming months, these teams will implement their solutions on the ground, with a clear pathway to transition ownership to relevant country stakeholders. Solution: Keletso—an AI-powered assistant giving Lesotho’s smallholder farmers localized guidance on planting, pests, and harvesting.
Solution: ASante—a digital wayfinder helping people in The Gambia turn trusted health information into the right next step for chronic disease prevention. Solution: MEWA—an early weather advisor turning complex weather data into clear Bengali guidance for farmers in Bangladesh. The next Challenge is coming.
Funding for Winning Teams Health, Agriculture & Climate Shape the Future of AI for Public Good The GenAI for Good Challenge was co-designed by IEEE Humanitarian Technologies and the International Telecommunication Union (ITU) to prioritize real-world implementation and tangible local impact. Built on the open-source GENIE.
AI framework, the Challenge empowers teams to develop scalable prototypes aligned with use cases identified through ITU’s country-level collaborations and existing local ecosystems. Winning teams will have the opportunity to pilot their solutions in partnership with United Nations agencies, including the World Health Organization, the Food and Agriculture Organization, and the World Meteorological Organization, based on the use case.
This is a rare opportunity to launch your concept inside a real deployment pipeline—moving beyond the lab to measurable community impact. Explore the GENIE. AI Framework >> The challenge centers on three real-world use cases, each tied to a UN Sustainable Development Goal and shaped by the needs of local priorities.
Agriculture Extension Chatbot A mobile-friendly AI chatbot offering farmers and agricultural advisors in Lesotho real-time advice, crop alerts, and market guidance—via voice, text, and basic phones. Non-Communicable Diseases (NCD) Prevention Chatbot A multilingual AI chatbot delivering evidence-based, personalization guidance to help Gambians prevent and manage chronic health risks like hypertension and tobacco use.
An AI-powered assistant that helps Bangladeshi farmers prepare for droughts with localized weather alerts, water-saving tips, and crop-specific risk guidance. Tackle urgent global challenges in health, agriculture, and climate with generative AI that improves lives. Work on challenges that directly impact communities, creating opportunities for meaningful, human-centered outcomes.
Build alongside IEEE HT, ITU, and global partners to develop responsible generative AI solutions with global impact. Collaborate with UN in-country offices leading the way in inclusive and globally impactful generative AI development. Advance your innovation through a structured process built for deployment and impact.
Deploy your solution in partnership with organizations offering local and thematic expertise to support real-world implementation. The Challenge unfolds over several phases—from application and evaluation to prototyping and real-world deployment. Explore the timeline below to see how your idea can progress step by step toward impact.
Get Your Questions Answered Catch up on the live session where we answered common questions, walked through the challenge timeline, and shared details to help you prepare your application. Enter the username or e-mail you used in your profile. A password reset link will be sent to you by email.
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According to the current listing, eligibility includes: Teams building open-source generative AI solutions addressing health, agriculture, or climate resilience challenges in the Global South, aligned with the UN SDGs. Confirm the full requirements in the official notice before applying.
The current listing shows up to $25,000 USD per team, plus cloud environments, mentorship and deployment support. Verify award ceilings, matching requirements, and allowable costs in the official notice.
GenAI for Good Challenge for Open-Source Generative AI Solutions in Global South Health, Agriculture and Climate is funded by IEEE and International Telecommunication Union (ITU). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
CalSEED Concept Award is a grant from the California Energy Commission that provides $150,000 in funding to early-stage clean energy innovators in California. The program targets individuals, businesses, and nonprofits developing hardware, software, or integrated solutions at Technology Readiness Levels 2-4. Eligible technology areas rotate each cycle and have included battery recycling and reuse, long-duration energy storage, medium- and heavy-duty vehicle electrification, industrial electrification, and advanced EV charging. Applicants must be located in California, have under $1 million in private funding, and propose innovations that benefit California ratepayers. Concept Award winners also receive professional development resources and access to accelerator programs, and may compete for a subsequent $450,000 Prototype Award.
NIST SBIR Phase I - Advanced Manufacturing and Robotics is sponsored by National Institute of Standards and Technology. NIST SBIR Phase I - Advanced Manufacturing and Robotics is a grant from the National Institute of Standards and Technology (NIST) that funds small businesses with innovative research and technology ideas in advanced manufacturing and robotics.