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.
Our Mission
To catalyze impactful work at the intersection of climate change and machine learning.
Our Goals
- 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.
People
Core Team
Priya L. Donti
Carnegie Mellon
Lynn H. Kaack
ETH Zürich
David Rolnick
McGill, Mila
Konstantin Klemmer
University of Warwick
Sasha Luccioni
Mila, U. de Montréal
Evan D. Sherwin
Stanford University
David Dao
ETH Zürich
Hari Prasanna Das
UC Berkeley
Ján Drgoňa
Pacific Northwest National Laboratory
Jesse Dunietz
Elemental Cognition
Ebude Antem Yolande Ebong
Eindhoven University of Technology
Jessica Fan
QuantumBlack, McKinsey
Meareg Hailemariam
Dakar American University of Science and Technology
Jeremy Irvin
Stanford University
John Kieffer
University of Pittsburgh
Lauren Kuntz
Gaiascope, Inc.
Kelly Kochanski
CU Boulder
Alexandre Lacoste
Element AI
Wei-Wei Lin
Tegan Maharaj
Mila, Polytechnique Montréal
Ankur Mahesh
LBNL, UC Berkeley
Nikola Milojevic-Dupont
MCC Berlin, TU Berlin
Kelton Minor
UCPH, UC Berkeley
Felipe Oviedo
Microsoft AI for Good, MIT
Geneviève Patterson
VSCO
Andrew Slavin Ross
Harvard University
Kris Sankaran
UW Madison
Maria João Sousa
IST, ULisboa
Katherine Stapleton
World Bank & Oxford University
Isabelle Tingzon
Thinking Machines Data Science
Kasia Tokarska
ETH Zürich
Marcus Voss
TU Berlin
Yumna Yusuf
International Climate Strategy and Negotiations, UK Gov
Advisors
Yoshua Bengio
Mila, U. de Montréal
Jennifer Chayes
UC Berkeley
Felix Creutzig
MCC Berlin, TU Berlin
John C. Platt
Google AI
Demis Hassabis
DeepMind
Andrew Y. Ng
Stanford University
Carla Gomes
Cornell University
Konrad P. Körding
University of Pennsylvania
Zico Kolter
Carnegie Mellon
Inês Azevedo
Stanford University
Tobias Schmidt
ETH Zürich
Craig Smith
Eye on AI
Organizational Structure
CCAI Chairs
- Priya L. Donti
- Lynn H. Kaack
- David Rolnick
Content Committee
- Sasha Luccioni (Committee Chair)
- Ebude Antem Yolande Ebong
- Lauren Kuntz
- Alexandre Lacoste
- Tegan Maharaj
- Ankur Mahesh
- Geneviève Patterson
- Kris Sankaran
- Isabelle Tingzon
- Marcus Voss
Communications Committee
- Konstantin Klemmer (Committee Chair)
- Ján Drgoňa
- Jesse Dunietz
- Wei-Wei Lin
- Andrew Ross
- Kris Sankaran
- Katherine Stapleton
- Kasia Tokarska
Programs Committee
- Evan D. Sherwin (Committee Chair)
- Hari Prasanna Das
- Jessica Fan
- Meareg Hailemariam
- Jeremy Irvin
- Maria João Sousa
- John Kieffer
- Konstantin Klemmer
- Felipe Oviedo
- Yumna Yusuf
Community Leads
- 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)
- Kelton Minor (Computational Social Sciences)
- David Rolnick (Tech Industry and ML Academia)
Former Core Team Members
- Natasha Jaques
- Anna Waldman-Brown
- Sharon Zhou
Press
Releases
- Nov. 11, 2019: press release and press packet
Selected coverage
- “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”