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Article published June 2020 about a completed grant cycle; no deadline information present.
AI for Earth Innovation Grant is a grant from Microsoft, in collaboration with the Leonardo DiCaprio Foundation, that funds organizations applying artificial intelligence to address environmental challenges in biodiversity conservation, climate change, agriculture, and water management.
The program supports research teams using AI and machine learning tools to generate actionable insights that accelerate conservation and sustainability outcomes globally. Eligible applicants include organizations and academic research teams working at the intersection of AI and environmental science.
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UW School of Oceanography researchers awarded Microsoft AI for Earth Innovation grant | College of the Environment Filter by Category Choose a topic Social Sciences Podcast Graduate Students Undergraduate Students Inclusive Excellence Communications and Events Research Information Committees & Councils Academic Affairs Weather Awards and Honors College of the Environment Sustainability Students Climate Science Communication Resource Management Polar Science Ocean Acidification Natural Hazards Marine Science Geophysical Sciences Genetics/Genomics Freshwater Extreme Environments Environmental Chemistry Engineering Ecology Conservation UW School of Oceanography Professor LuAnne Thompson and graduate student Hillary Scannell are conducting one of five projects from around the world to receive the Microsoft-Leonardo DiCaprio Foundation (LDF) Innovation grant this month for their proposal to use artificial intelligence to better understand the planet and solve pressing environmental issues.
The grants will support a range of projects, spanning the cutting-edge use of technology to monitor human-wildlife conflict in Tanzania to tracking dangerous marine heatwaves and predicting drinking water shortages in underserved communities.
The AI for Earth Innovation grants program supports applicants in creating and implementing open-source machine-learning models, algorithms and datasets that directly tackle environmental challenges the world faces today in the areas of biodiversity loss, climate change, and water security. Thompson, Scannell and collaborators will track and predict marine heatwaves.
As the planet’s climate continues to warm, the ocean is absorbing and storing excess heat, resulting in extreme events called marine heatwaves that cause coral bleaching, fish population decline and the mortality of marine life.
This project will use AI to track marine heatwaves and aid scientists in better understanding their impacts and, ultimately, develop methods to predict how heatwaves will evolve, informing disaster and emergency responders who can help mitigate the effects of future events.
Of the 135 applications submitted, LDF and Microsoft chose five projects that markedly demonstrate work that will lead to the implementation of innovative AI models that address critical environmental issues, can rapidly scale and will create lasting impact beyond the grant period. Proposals could request up to $100,000 for support over one year. This year’s winners will receive a total of nearly $450,000 to implement their solutions.
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Based on current listing details, eligibility includes: Organizations working on challenges in biodiversity conservation, climate change, agriculture, and water. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Unspecified 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.
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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.
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
NIST Small Business Innovation Research (SBIR) Phase II Program - Quantum Information Science is sponsored by National Institute of Standards and Technology (NIST). This program allocates funding to small businesses for prototyping innovative technologies in areas including quantum information science, artificial intelligence, and semiconductors. These Phase II awards follow successful Phase I feasibility studies.