Climate Change AI Innovation Grants

As part of our mission to catalyze impactful work at the intersection of climate change and machine learning, Climate Change AI awards seed grants supporting research, deployment, and the creation of datasets and tools.

This Innovation Grants program enables the creation of key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, non-profits, startups and other companies, and governmental or intergovernmental organizations.

The next open call of the Innovation Grants program will be announced in the summer of 2024. If you are a prospective applicant, please fill out this form to receive notifications about the next call.

If you interested in partnering with Climate Change AI and supporting the Innovation Grants program, please get in touch with us via


The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program allocates grants typically of up to $150K for projects of one year in duration. So far, over our past grant calls, we have funded 23 projects over a broad range of application areas, with investigators from 62 institutions across 22 countries on 6 continents.

A list of our accepted projects can be seen below, with links for more information.

Funded Projects

The eye of a hurricane, a calm center surrounded by swirling clouds and intense storm activity, viewed from above
A close-up image sea urchins, showcasing spines
A plant specimen of the vulnerable species Ophiorrhiza subumbellata, collected by Captain James Cook in 1774 in Tahiti, and identified as such in 1975.
A pile of logs resulting from illegal logging activities, highlighting the environmental impact of deforestation and timber extraction.
L2 suspension tower, part of an electrical transmission system, featuring cables suspended between tall pylons.
Researchers reviewing a draft flood map and discussing colonias in Cameron County that experienced flooding, as part of a workshop involving community partners.
A river winding through a landscape of palm trees
An extensive rice field stretching into the distance with flooded paddies, ready for cultivation
Smoke billows from a towering smokestack at a steel plant in Inner Mongolia, contributing to air pollution
Flooded croplands in Ba, Fiji, following a storm event in February 2017, showing submerged fields and waterlogged vegetation
Visualization depicting features learned through the species mapping approach, showcasing data patterns and insights
Electric transmission towers in a cleared forest area, indicating human infrastructure amidst deforestation
Mangrove forest in Indonesia, featuring dense vegetation and tangled roots along a coastal area.
Chicago skyline illuminated by city lights at night, featuring towering skyscrapers against a dark sky
A supercell thunderstorm dominates the sky over the Texas Panhandle, displaying rotating clouds and lightning activity.
Silhouette of power lines against a colorful sunset sky
A graphical representation of an NLP benchmark for climate texts alongside our semi-supervised experimental paradigm, illustrating data structures and experimental methodologies.
A woman posing amidst lush mangrove trees in the Philippines, surrounded by vibrant green foliage
View of glaciers from Mt. Castore, 4228 m, in the Mount Rosa massif, Alps, showcasing icy peaks and rugged terrain
Urbike, a cargo bike cooperative in Brussels, showcasing the transformative potential of cargo bikes to reshape urban transportation and sustainability.
Farmers participate in training sessions in Mali, learning agricultural techniques and practices to enhance crop yield and resilience.


Supported by

Fiscal sponsor

Past Innovation Grants Calls