[ Climate Change AI – Innovation Grants | Research Funding ]

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Date 15.10.2021  
Category Call for proposal
Aim:  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. 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.

This program will allocate grants of up to USD 150K for conducting research projects of 1 year in duration. 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.

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.)action must be performed responsibly, and ideally with quantifiable impacts.

Funding:       max. $150,000

Duration:      1 year

Eligibility: Each application must have a Principal Investigator (PI) who is a faculty member or postdoctoral researcher at an accredited university or academic research institution in an OECD country. There are no eligibility restrictions on co-Investigators, and multi-country and multi-sectoral collaborations are encouraged (e.g., including members outside OECD countries or from non-research institutions).

Current members of the Climate Change AI Board of Directors cannot apply to this grant as a PI, and they may not receive funds towards their own salary. Members of the Review Committee 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 is not eligible.

How to Apply: Applications should be made via the CMT website, and should include administrative information, a project description (max 12 pages), budget and justification, and CVs of key personnel. EPFL budgets should include overhead at 10% of the total amount requested. More details on the proposal components can be found on the call website.

Deadline:      15 October 2021 (23:59 UTC-12)

Further information
  • More information about the program is available here
  • The application portal can be found here
  • For any other questions, please contact the Research Office

Practical information

  • General public
  • Free

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