Climate Change AI
Code of Conduct
Accepted Workshop Papers
Summer School 2023
CCAI Innovation Grants 2023
Past Grant Calls
CCAI Community Platform
CCAI Core Team Profile: Priya Donti
March 06, 2023
An interview with the Co-founder and Executive Director of CCAI
CCAI Team Member Profile
Core Team Profile
Using AI-driven Yield Estimation to Improve Resilience of Malian Cotton Farmers
Ahmet Rasim Demirtas
February 22, 2023
As part of the Climate Change AI Innovation Grants program, the IMPRESSYIELD team is using Satellite Data and AI to monitor the climate change risks to one of Mali’s most threatened crops.
Agriculture & Food
Computer Vision & Remote Sensing
Circularity in Fashion, powered by AI
Alan Fortuny Sicart
February 13, 2023
An alternative focus for AI in the fashion industry
Getting your academic resume ready for industry
December 02, 2022
A guide for researchers to upgrade their industry job hunts
Using Machine Learning to Track International Climate Finance
November 09, 2022
Researchers used natural language processing to track international climate finance based on textual descriptions of development projects.
natural language processing
Bridging the Gap Between Academia and Industry In The Energy Sector
October 24, 2022
Data science innovation is often lost between Industry and Academia. A new report offers suggestions for improving the process.
The Green Last Mile Project: Accelerating Cargo-Bike Logistics in Cities
October 11, 2022
As part of the CCAI Innovation Grants Program, a team from Denmark, India, the US and the UK is working on simulations of vehicle performance across urban micro-regions to accelerate the transition to cargo-bike logistics.
Estimating the Ice Volume of All Glaciers in High Mountain Asia With Deep Learning
October 03, 2022
With the support of the Innovation Grants Program, the ICENET project combines remote sensing and deep learning to assess the ice volume of all glaciers in High Mountain Asia.
Tackling Climate Change with Machine Learning Workshop at NeurIPS 2022
September 12, 2022
Author information for Climate Change AI's workshop
Detecting Flooding in Fiji’s Croplands
September 06, 2022
A team from Australia and Fiji are using machine learning to generate flood maps from satellite images for agricultural damage assessment with support from CCAI’s Innovation Grants Program.
extreme tropical weather responses
Scaling Climate Smart Shrimp in Southeast Asia using GIS and Computer Vision
June 16, 2022
Multi-institution team of Innovation Grants Program awardees will use GIS and AI to identify and classify aquaculture sites for production intensification and mangrove restoration in Indonesia and the Philippines
Carbon Capture, Extreme Weather, and Disaster Management
May 31, 2022
A recap of CCAI’s first reading groups
Earth systems modeling
Announcing the Climate Change AI Innovation Grants 2022 winners
April 13, 2022
13 proposals will be awarded a total of $1.8M USD as part of CCAI’s first research grants program
The paper that launched CCAI
March 08, 2022
Looking back at “Tackling Climate Change with Machine Learning”
CCAI Core Team Profile: Evan Sherwin
February 07, 2022
The CCAI blog occasionally features profiles of core team members. This week, we check in with methane researcher and CCAI core team member Evan Sherwin.
Core team profile
The EPA’s new methane reduction proposal hints at help from AI
January 19, 2022
The agency acknowledges the role of cutting-edge techniques, but stops short of fully endorsing them.
Climate Change AI @ COP26
Lynn H. Kaack
January 12, 2022
CCAI's events at the November conference continued to provide scientific input to policymakers on AI's relationship with climate change.
Learning to Control Buildings Like an Engineer
December 21, 2021
A new approach to energy-efficient HVAC control infuses deep learning with guidance from physics.
hybrid physical models
reinforcement learning and control
A datathon to empower women in climate change and data science
December 13, 2021
The Women in Data Science Datathon 2022 will highlight the role of buildings for climate change mitigation, while supporting women in the field.
GANs for Dynamic Spatio-Temporal Patterns
December 02, 2021
Deep generative modeling can help to accelerate and scale simulation of weather patterns and turbulent flows.
Earth systems modeling
Startups in the Climate Space: An Interview with Dr. Lauren Kuntz of Gaiascope
November 12, 2021
Reflecting on the undeniable advance of climate change, my friend Lauren and I discuss how startups can enter the climate space and make a difference.
CCAI’s comments on the EU’s proposed Harmonized Rules on AI
Lynn H. Kaack
November 02, 2021
What role can the “high-risk” classification for AI systems play in addressing climate change?
Introducing the CCAI blog
October 28, 2021