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Grants to USA, Canada, and International Principal Investigators for Research Projects Related to Climate Change

Climate Change AI Innovation Grants

GrantWatch ID# 206459
Agency: Foundation

Funding Source
Climate Change AI, Quadrature Climate Foundation, and DeepMind
Array ( )

Geographic Focus
Canada:Alberta;   British Columbia;   Manitoba;   New Brunswick;   Newfoundland and Labrador;   Northwest Territories;   Nova Scotia;   Nunavut;   Ontario;   Prince Edward Island;   Quebec;   Saskatchewan;   Yukon;
International, Israel and Canada.

Important Dates
Deadline: 03/01/23 11:59 PM Anywhere on Earth time, UTC-12 Save

Grant Description
Grants to USA, Canada, and International principal investigators associated with research institutions in eligible countries for research projects related to climate change. The purpose of the program is to support research related to the positive impact technology can have on the climate.

Artificial Intelligence (AI) and machine learning (ML) can help support climate change mitigation and adaptation, as well as climate science, across many different areas, for example energy, agriculture, forestry, climate modeling, and disaster response (for a broader overview of the space, please refer to Climate Change AI’s interactive topic summaries and materials from previous events). However, impactful research and deployment have often been held back by a lack of data and other essential infrastructure, as well as insufficient knowledge transfer between relevant fields and sectors.

The relationship between AI and climate change is also nuanced, and can manifest in various ways that either contribute to or counteract climate action. Thus, the use of AI for climate action must be performed responsibly, and ideally with quantifiable impacts.

Research projects shall leverage AI or machine learning to address problems in climate change mitigation, adaptation, or climate science, or shall consider problems related to impact assessment and governance at the intersection of climate change and machine learning.

Along with the project, the grantees must publish a documented dataset (or simulator), which was created by collating, labeling, and/or annotating existing data, and/or by collecting, simulating, or otherwise making available new data that can enable further research. The dataset is required with the FAIR Data Principles (Findable, Accessible, Interoperable and Reusable).

Projects are expected to result in a deployed project, scientific publications, or other public dissemination of results, and should include a carefully considered pathway to impactful deployment. All grant IP — e.g., the dataset/simulator produced and (if applicable) trained models or detailed descriptions of architectures and training procedures — must be made publicly available under an open license.

Relevant research includes but is not limited to the following topics:

  • ML to aid mitigation approaches in relevant sectors such as agriculture, buildings and cities, heavy industry and manufacturing, power and energy systems, transportation, or forestry and other land use
  • ML applied to societal adaptation to climate change, including disaster prediction, management, and relief in relevant sectors
  • ML for climate and Earth science, ecosystems, and natural systems as relevant to mitigation and adaptation
  • ML for R&D of low-carbon technologies such as electrofuels and carbon capture & sequestration
  • ML approaches in behavioral and social science related to climate change, including those anchored in climate finance and economics, climate justice, and climate policy
  • Projects addressing AI governance in the context of climate change, or that aim to assess the greenhouse gas emissions impacts of AI or AI-driven applications, may also be eligible for funding. (Studies addressing this area may be exempt from the dataset publication requirement.)


  • Others (see text field entitled "Additional Eligibility Criteria" for clarification)

Additional Eligibility Criteria
Each application must have a Principal Investigator (PI) who is affiliated with an accredited university in an OECD Member country. The PI must be eligible to hold grants under their name at their accredited university; this may include, e.g., faculty, postdocs, or research scientists (depending on the institution). There are no eligibility restrictions on co-Investigators, and multi-country and multi-sectoral collaborations are encouraged (e.g., including members outside OECD Member countries or from non-research institutions).

Current members of the Climate Change AI Board of Directors and Climate Change AI staff cannot apply to this grant as a PI, and they may not receive funds towards their own salary. Program Chairs and Meta-Reviewers for this grant may not apply or receive funds in any way (however, Reviewers may, and conflicts of interest will be appropriately managed during the review process).

Research activity that is currently funded by other grant programs will not be funded. If other grant proposals for the same project have been submitted and/or are under consideration, the relation of the present proposal to those other proposals needs to be clearly explained. If the proposal is selected for funding, no aspect of a project should be double funded by other funding bodies.

Pre-Proposal Conference
Informational webinars Dec 19, 2022 & Jan 19, 2023
Register -

Pre-Application Information
Proposal submission deadline: March 1, 2023 at 23:59 (Anywhere on Earth time, UTC-12)

- Call release date: Nov 2, 2022
- Informational webinars: TBD
- Proposal submission deadline: Mar 1, 2023
- Notification of results: May 15, 2023

Informational webinar recording (Dec. 19, 2022):

Additional Funding Information

Estimated Total Program Funding:


Estimated Size of Grant
Up to USD 150K per proposal. Proposals focused on using AI/ML to address climate change mitigation in the electric power sector (including, but not limited to Optimal Power Flow and related multi-level problems like Unit Commitment) may also optionally request support from a DeepMind Engineer, in addition to the financial award.

Term of Contract
Projects of 12 months in duration
- Award start date: Aug 15, 2023
- Award end date: Aug 15, 2024

Contact Information

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