About Climate Change AI
Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning, encompassing researchers, engineers, entrepreneurs, investors, policymakers, companies, and NGOs.
To catalyze impactful work at the intersection of climate change and machine learning.
- To build a community of diverse stakeholders.
- To guide impactful work through educational resources and programs.
- To fill gaps in essential infrastructure such as funding, tools, and datasets.
- To advance discourse and advise relevant players.
- Priya L. Donti
- Lynn H. Kaack
- David Rolnick
- Sasha Luccioni (Committee Chair)
- Lauren Kuntz (Course Curriculum Lead)
- Alexandre Lacoste
- Tegan Maharaj
- Kris Sankaran
- Konstantin Klemmer (Committee Chair, Social Media Lead)
- Andrew Ross (Web Lead)
- Kris Sankaran (Newsletter Lead, Forum Lead)
- Evan D. Sherwin (Committee Chair)
- Konstantin Klemmer
- Yumna Yusuf (Meetups Lead)
- David Dao (Agriculture, Forestry, and Other Land Use)
- Priya L. Donti (Power Sector)
- Lynn H. Kaack (Public Sector and International Organizations)
- Kelly Kochanski (Climate and Earth Sciences)
- Nikola Milojevic-Dupont (Buildings and Transportation)
- David Rolnick (Tech Industry and ML Academia)
Former Core Team Members
- Natasha Jaques
- Anna Waldman-Brown
- Sharon Zhou
- “Not Cool: A Climate Podcast” by the Future of Life Institute: Part 1 and Part 2
- Eye on A.I. podcast: “Climate Change and AI”
- National Geographic: “How artificial intelligence can tackle climate change”
- The Verge: “Here’s how AI can help fight climate change according to the field’s top thinkers”
- MIT Technology Review: “Here are 10 ways AI could help fight climate change”