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 (and established as a US domestic non-profit on June 14, 2021), 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
- Community: To build a community of diverse stakeholders.
- Education: To guide impactful work through educational resources and programs.
- Infrastructure: To fill gaps in essential infrastructure such as funding, tools, and datasets.
- Discourse: To advance discourse and advise relevant players.
Our Guiding Principles
- On climate change: Climate change is a pressing issue with major implications for societal well-being, particularly for the world’s most disadvantaged populations. Addressing climate change requires rapid, sustained, equitable, and scientifically informed efforts in both mitigation and adaptation, in conjunction with relevant stakeholders.
- On machine learning: Machine learning is a powerful tool with wide applicability in many technological and societal applications (both positive and negative), and should be practiced in a manner consistent with its strengths, weaknesses, and limitations, as well as with climate change goals (considering both its applications and its emissions footprint).
- On machine learning for climate change: Machine learning can play an impactful role in many broader strategies for reducing and responding to climate change. At the same time, machine learning is not a silver bullet, and should serve to supplement (rather than divert attention from) other impactful actions to address climate change.
- On diversity, inclusion, and equity: Diversity, inclusion, and equity are central to the advancement of society in general, and moreover fundamental to progress in addressing climate change. Where possible, it is important that work in climate change and machine learning attempt to address the structural inequities that exist in today’s society.
People
Board of Directors
Priya L. Donti
MIT
Co-Founder
CCAI Chair
Lynn H. Kaack
Hertie School
Co-Founder
CCAI Chair
Public Sector Co-Lead
David Rolnick
McGill, Mila
Co-Founder
CCAI Chair
Staff
Core Team
Utkarsha Agwan
UC Berkeley
Organization Development, Sponsorships
Nadia Ahmed
UC Irvine
Tutorials
David Dao
GainForest
Agriculture & Forestry Lead
Meareg Hailemariam
Impact Assessment, DEI
Diego Kiedanski
LlamaIndex
Community Platform, Newsletter
Konstantin Klemmer
Social Media, Newsletter
Alp Kucukelbir
Fero Labs, Columbia University
Entrepreneurship Lead
Sasha Luccioni
Hugging Face
Nikola Milojevic-Dupont
MCC Berlin, TU Berlin
Panayiotis Moutis
City College of New York
Power & Energy Lead
Ivan Poon
National University of Singapore
Multi-stakeholder Matching, Community Events
Andrew Slavin Ross
Antora
Website
Sarah Skenazy
Oxford Open Infrastructure and Health
Public Health Lead
Isabelle Tingzon
The World Bank, GFDRR
Tutorials
Marcus Voss
Birds on Mars, TU Berlin
Buildings & Transportation Lead
Advisory Board
Inês Azevedo
Stanford University
Yoshua Bengio
Mila, U. de Montréal
Jennifer Chayes
UC Berkeley
Felix Creutzig
MCC Berlin, TU Berlin
Carla Gomes
Cornell University
Demis Hassabis
DeepMind
Zico Kolter
Carnegie Mellon
Konrad P. Körding
University of Pennsylvania
Claire Monteleoni
CU Boulder
Catherine Nakalembe
University of Maryland
Andrew Y. Ng
Stanford University
John C. Platt
Google AI
Tobias Schmidt
ETH Zürich
Craig Smith
Eye on AI
Former Core Team Members
- Annie Agle
- Olalekan Akintande
- Dea Bankova
- Zikri Bayraktar
- Sara Beery
- Rasika Bhalerao
- Ashwin Bhanot
- Millie Chapman
- Ashesh Chattopadhyay
- Ioana Colfescu
- Hari Prasanna Das
- Ján Drgoňa
- Jesse Dunietz
- Ebude Antem Yolande Ebong
- Jessica Fan
- Elena Fillola
- Simone Nsutezo Fobi
- Soledad Galli
- Jade Eva Guisiano
- Mel Hanna
- Jeremy Irvin
- Umangi Jain
- Natasha Jaques
- Kai Jeggle
- John Kieffer
- Nathan Kiner
- Samuel King
- Kelly Kochanski
- Lukas Kondmann
- Raphaela Kotsch
- Lauren Kuntz
- Alexandre Lacoste
- Wei-Wei Lin
- Shiva Madadkhani
- Tegan Maharaj
- Ankur Mahesh
- Olivia Mendivil Ramos
- Kelton Minor
- Yazid Salahudeen Mikail
- Jorge Montalvo
- Peetak P. Mitra
- Tejasri Nampally
- Arthur Ouaknine
- Felipe Oviedo
- Geneviève Patterson
- Kameliya Petrova
- Shafat Rahman
- Mark Roth
- Sebastian Ruf
- Kris Sankaran
- Evan Sherwin
- Alan Fortuny Sicart
- Amanda Sessim Parisenti
- Daniel Spokoyny
- Katherine Stapleton
- Kasia Tokarska
- Anna Waldman-Brown
- Marius Wiggert
- Gina Wong
- Sharon Xu
Press
Releases
- 2022-2023 Innovation Grants Winners (June 26, 2024)
- CCAI Innovation Grants 2023 (Nov. 4, 2022)
- 2021-2022 Innovation Grants Winners (May 5, 2022)
- Climate Change and AI: Recommendations for Government (Nov. 8, 2021)
- CCAI Innovation Grants 2022 (Aug. 30, 2021)
- MIT Technology Review 35 Under 35 awards (Jun. 30, 2021)
- Paper: Tackling Climate Change with Machine Learning (Nov. 11, 2019)
Selected articles
- Popular Science: AI can help fight climate change—but it can also make it worse (May 2022)
- Der Spiegel: How High-Tech Tools Are Helping Combat Climate Change (Sep 2021)
- pv magazine: Climate Change AI unveils US$2 million grant program (Aug 2021)
- The Economist Intelligence Unit: Green Intelligence - AI could boost efforts to fight climate change (May 2021)
- Capgemini: Climate AI: How artificial intelligence can power your climate action strategy (Nov 2020)
- Forbes: Is Fusion Really Close To Reality? Yes, Thanks To Machine Learning (Apr 2020)
- CleanTechnica: Machine Learning Experts Issue Call To Arms For Climate Focus (Jan 2020)
- National Geographic: How artificial intelligence can tackle climate change (Jul 2019)
- The Verge: Here’s how AI can help fight climate change according to the field’s top thinkers (Jun 2019)
- MIT Technology Review: Here are 10 ways AI could help fight climate change (Jun 2019)
Selected podcasts and radio shows
- WiDS Podcast: Priya Donti | Using AI to Fight the Climate Crisis (Jan 2023)
- The Interchange: How A.I. Will Revolutionize Climate Tech (Jun 2021)
- Körber Stiftung: Der Zusammenhang von Klima und KI (Mar 2021, German)
- ASP Flashpoint: Climate and AI (Aug 2020)
- Deutschlandfunk: Künstliche Intelligenz gegen den Klimawandel (May 2020, German)
- The Interchange: Beyond Forecasting: Artificial Intelligence Is a Powerful Decarbonization Tool (Feb 2020)
- “Not Cool: A Climate Podcast” by the Future of Life Institute: Part 1 and Part 2 (Oct 2019)
- Eye on A.I. podcast: Climate Change and AI (Sep 2019)