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SUMMARY:[ Climate Change AI – Innovation Grants | Research Funding ]
DTSTART;VALUE=DATE:20211015
DTSTAMP:20260506T045008Z
UID:6a6d1489d8af3ef3ba708b7f0d180325344d32eb4632280942543c67
CATEGORIES:Call for proposal
DESCRIPTION:Aim:  Artificial Intelligence (AI) and machine learning (ML) 
 can help support climate change mitigation and adaptation\, as well as cli
 mate science\, across many different areas\, for example energy\, agricult
 ure\, forestry\, climate modeling\, and disaster response. However\, impac
 tful research and deployment have often been held back by a lack of data a
 nd other essential infrastructure\, as well as insufficient knowledge tran
 sfer between relevant fields and sectors. The relationship between AI and 
 climate change is also nuanced\, and can manifest in various ways that eit
 her contribute to or counteract climate action. Thus\, the use of AI for c
 limate action must be performed responsibly\, and ideally with quantifiabl
 e impacts.\n\nThis program will allocate grants of up to USD 150K for cond
 ucting research projects of 1 year in duration. Research projects shall le
 verage AI or machine learning to address problems in climate change mitiga
 tion\, adaptation\, or climate science\, or shall consider problems relate
 d to impact assessment and governance at the intersection of climate chang
 e and machine learning.\n\nRelevant research includes but is not limited t
 o the following topics:\n\n	ML to aid mitigation approaches in relevant se
 ctors such as agriculture\, buildings and cities\, heavy industry and manu
 facturing\, power and energy systems\, transportation\, or forestry and ot
 her land use\n	ML applied to societal adaptation to climate change\, inclu
 ding disaster prediction\, management\, and relief in relevant sectors\n	M
 L for climate and Earth science\, ecosystems\, and natural systems as rele
 vant to mitigation and adaptation\n	ML for R&D of low-carbon technologies 
 such as electrofuels and carbon capture & sequestration\n	ML approaches in
  behavioral and social science related to climate change\, including those
  anchored in climate finance and economics\, climate justice\, and climate
  policy\n	Projects addressing AI governance in the context of climate chan
 ge\, or that aim to assess the greenhouse gas emissions impacts of AI or A
 I-driven applications\, may also be eligible for funding. (Studies address
 ing this area may be exempt from the dataset publication requirement.)acti
 on must be performed responsibly\, and ideally with quantifiable impacts.\
 n\n\nFunding:       max. $150\,000\n\nDuration:      1 year\n\nEl
 igibility: Each application must have a Principal Investigator (PI) who is
  a faculty member or postdoctoral researcher at an accredited university o
 r academic research institution in an OECD country. There are no eligibili
 ty restrictions on co-Investigators\, and multi-country and multi-sectoral
  collaborations are encouraged (e.g.\, including members outside OECD coun
 tries or from non-research institutions).\n\nCurrent members of the Climat
 e Change AI Board of Directors cannot apply to this grant as a PI\, and th
 ey may not receive funds towards their own salary. Members of the Review C
 ommittee 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).\n\nResearch activity that is currently funded
  by other grant programs is not eligible.\n\nHow to Apply: Applications sh
 ould be made via the CMT website\, and should include administrative infor
 mation\, 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.\n\nDeadline:      15 October 2021 (23:59 
 UTC-12)\n\nFurther information\n\n\n	More information about the program is
  available here\n	The application portal can be found here\n	For any other
  questions\, please contact the Research Office\n
LOCATION:
STATUS:CONFIRMED
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