Climate Change AI | Innovation Grants 2024
Event details
| Date | 15.09.2024 |
| 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 (for a broader overview of the space, please refer to Climate Change AI’s interactive topic summaries and papers). 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. With the support of Quadrature Climate Foundation, Google DeepMind, and Global Methane Hub, Climate Change AI is excited to announce funding for projects at the intersection of AI and climate change. We are also grateful to the Canada Hub of Future Earth for serving as the fiscal sponsor for this program.
Projects in the Main Track should leverage AI or machine learning to address problems in climate change mitigation, adaptation, or climate science, or consider problems related to impact assessment and governance at the intersection of climate change and machine learning.
Relevant topics include but are not limited to the following topics:
For context, a list of the projects funded during past Innovation Grants cycles is available here.
Submissions to the Special Track on Methane should leverage AI or machine learning to address problems in methane-related climate change mitigation in the short/medium term period (well before 2040), including (but not limited to) the areas of:
Duration: 1 year
Funding: USD 150K
Eligibility: Each application must have a Principal Investigator (PI) who is affiliated with an accredited university in one of the 38 OECD Member Countries (such as Switzerland). 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). Co-Investigators can be located outside OECD Member countries and can be affiliated with non-research institutions, and indeed multi-country and multi-sectoral collaborations are encouraged.
How to Apply: All applications must be received by September 15th, 2024 at 23:59 (Anywhere on Earth time, UTC-12). Applications should be made via the CMT website, which will require the following information: ‘basic information’, ‘project description’, ‘budget and budget justification’, ‘CVs of key personnel’; full details here.
Deadline: 15 September 2024
Further information
Projects in the Main Track should leverage AI or machine learning to address problems in climate change mitigation, adaptation, or climate science, or consider problems related to impact assessment and governance at the intersection of climate change and machine learning.
Relevant topics include but are 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, waste, 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.)
For context, a list of the projects funded during past Innovation Grants cycles is available here.
Submissions to the Special Track on Methane should leverage AI or machine learning to address problems in methane-related climate change mitigation in the short/medium term period (well before 2040), including (but not limited to) the areas of:
- Energy (including coal mine methane, ventilation air methane, flaring, methane leak detection, super-emitters, and methane emissions from oil and gas)
- Waste and circular economy (including food loss and waste recovery, food or organic waste separation, dumps/landfill emissions, wastewater treatment, and sludge management)
- Agriculture (including livestock, manure management, biomass burning, and rice cultivation)
Duration: 1 year
Funding: USD 150K
Eligibility: Each application must have a Principal Investigator (PI) who is affiliated with an accredited university in one of the 38 OECD Member Countries (such as Switzerland). 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). Co-Investigators can be located outside OECD Member countries and can be affiliated with non-research institutions, and indeed multi-country and multi-sectoral collaborations are encouraged.
How to Apply: All applications must be received by September 15th, 2024 at 23:59 (Anywhere on Earth time, UTC-12). Applications should be made via the CMT website, which will require the following information: ‘basic information’, ‘project description’, ‘budget and budget justification’, ‘CVs of key personnel’; full details here.
Deadline: 15 September 2024
Further information
- More information about the program is available here
- Application portal can be found here
- For any other questions, please contact the Research Office.
Practical information
- Informed public
- Free