Climate Change AI

Helping global grids work smarter, not harder

Genevieve Flashpohler, Mohini Bariya, and June Lukuyu, August 29, 2024

Bootstrapping smart grid insights for sustainable development in Ghana’s power sector, Climate Change AI Innovation Grants Program 2023

Innovation Grants Power & Energy Societal Adaptation & Resilience Unsupervised & Semi-Supervised Learning

AI for Public and Planetary Health

Sarah Skenazy and Sara Khalid, August 09, 2024

Better data, better models, better health for all

Interview Climate Policy Health Public Policy

Unlocking Energy Flexibility of Residential Buildings

Zoltan Nagy, Kingsley Nweye, and Javad Mohammadi, July 01, 2024

The Innovation Grants Program 2023 advances residential energy management with CityLearn

Innovation Grants Buildings Cities & Urban Planning Power & Energy Control Systems Forecasting Optimization

Announcing the 2023 CCAI Innovation Grants Awardees

Kameliya Petrova, Utkarsha Agwan, Maria João Sousa, and David Rolnick, June 26, 2024

9 proposals have been awarded a total of $1.4M USD as part of the second CCAI Innovation Grants program

Innovation Grants

NeurIPS 2023 Workshop: Blending new and existing knowledge systems

Ashwin Bhanot, April 19, 2024

Find out more about CCAI’s NeurIPS 2023 workshop

CCAI News Land Use Transfer Learning Reinforcement Learning Forecasting Control Systems Computer Vision & Remote Sensing Public Policy Earth Observation & Monitoring Disaster Management and Relief Cities & Urban Planning

The Climate Change AI Summer School: 2023 Recap and 2024 Announcement

Erick Kapp, March 28, 2024

Find out more about CCAI’s flagship educational program and how you can learn to tackle climate change using machine learning.

Announcement

Using Machine Learning to Forecast the Weather and Climate

Ioana Colfescu, February 07, 2024

An Overview of Three CCAI Tutorials on Forecasting

Research Post Climate Science & Modeling Weather & Climate Forecasting

Using Machine Learning to Increase Durability and Reduce Returns for Sports and Fashion Goods

Ali Naeem and Alan Fortuny Sicart, January 27, 2024

Contextualizing Environmental Impacts of Short Life Cycles and High Returns on the Industry

Industry Post Sustainability Natural Language Processing Interpretable ML

Introducing The ForestBench Project

Lucas Czech, Björn Lütjens, and David Dao, November 28, 2023

Community Engagement and Technological Innovation for Carbon Data Collection in the Global South.

Innovation Grants Forests Ecosystems & Biodiversity Earth Observation & Monitoring Local and Indigenous Knowledge Systems

Deep learning of nanoporous materials for chemical separations

Gustavo Perez, October 08, 2023

With support from the Climate Change AI Innovation Grants program, an interdisciplinary team from UMass Amherst is using AI to help researchers design energy-efficient separation processes.

Innovation Grants Chemistry & Materials Carbon Capture & Sequestration

Mapping Species From Crowdsourced Data Using Machine Learning

Elijah Cole and Oisin Mac Aodha, September 05, 2023

Using machine learning to generate geographical range predictions for tens of thousands of species with support from the Climate Change AI Innovation Grants Program.

Innovation Grants Ecosystems & Biodiversity

Using Machine Learning to Integrate Mangrove Restoration with Sustainable Aquaculture Intensification

Garrett Goto and Joshua Cortez, July 21, 2023

With support from the Innovation Grants Program, a diverse team of academics, conservation practitioners, and tech industry experts developed a rapid assessment tool, powered by AI and earth observation data, to identify and validate Climate Smart Shrimp sites in Indonesia and the Philippines.

Innovation Grants Agriculture & Food Oceans & Marine Systems Ecosystems & Biodiversity Carbon Capture & Sequestration Climate Finance & Economics Computer Vision & Remote Sensing

Using Reinforcement Learning to Improve Energy Management for Grid-Interactive Buildings

Zoltan Nagy and Kingsley Nweye, June 02, 2023

Implementation in the Citylearn environment and key challenges for multi-agent reinforcement learning

Industry Post Buildings Power & Energy Reinforcement Learning

CCAI Core Team Profile: Priya Donti

Priya Donti, March 06, 2023

An interview with the Co-founder and Executive Director of CCAI

CCAI Core Team Profile Power & Energy

Using AI-driven Yield Estimation to Improve Resilience of Malian Cotton Farmers

Osman Baytaroglu and 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.

Innovation Grants 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

Industry Post Sustainability

Getting your academic resume ready for industry

Kelly Kochanski, December 02, 2022

A guide for researchers to upgrade their industry job hunts

Career Guide

Using Machine Learning to Track International Climate Finance

Malte Toetzke, November 09, 2022

Researchers used natural language processing to track international climate finance based on textual descriptions of development projects.

Guest Post Climate Finance & Economics Natural Language Processing

Bridging the Gap Between Academia and Industry In The Energy Sector

Stephen Haben and Samuel Hinton, October 24, 2022

Data science innovation is often lost between Industry and Academia. A new report offers suggestions for improving the process.

Research Summary Power & Energy

The Green Last Mile Project: Accelerating Cargo-Bike Logistics in Cities

Nicolas Collignon, 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.

Innovation Grants Transportation Sustainability Cities & Urban Planning

Estimating the Ice Volume of All Glaciers in High Mountain Asia With Deep Learning

Niccolò Maffezzoli, 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.

Innovation Grants Earth Observation & Monitoring Computer Vision & Remote Sensing Climate Science & Modeling

Tackling Climate Change with Machine Learning Workshop at NeurIPS 2022

Peetak Mitra, September 12, 2022

Author information for Climate Change AI's workshop

Announcement

Detecting Flooding in Fiji’s Croplands

John Duncan, Renata Varea, Bryan Boruff, and Kevin Davies, 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.

Innovation Grants Disaster Management and Relief Extreme Weather Earth Observation & Monitoring Computer Vision & Remote Sensing Agriculture & Food

Scaling Climate Smart Shrimp in Southeast Asia using GIS and Computer Vision

Anica Araneta, 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

Innovation Grants Agriculture & Food Oceans & Marine Systems Ecosystems & Biodiversity

Carbon Capture, Extreme Weather, and Disaster Management

Mark Roth, May 31, 2022

A recap of CCAI’s first reading groups

CCAI News Carbon Capture & Sequestration Climate Science & Modeling

Announcing the Climate Change AI Innovation Grants 2022 winners

Konstantin Klemmer, April 13, 2022

13 proposals will be awarded a total of $1.8M USD as part of CCAI’s first research grants program

Innovation Grants

The paper that launched CCAI

David Rolnick, March 08, 2022

Looking back at “Tackling Climate Change with Machine Learning”

CCAI Perspective

CCAI Core Team Profile: Evan Sherwin

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.

CCAI Core Team Profile Computer Vision & Remote Sensing Climate Policy

The EPA’s new methane reduction proposal hints at help from AI

Eric Lumsden, January 19, 2022

The agency acknowledges the role of cutting-edge techniques, but stops short of fully endorsing them.

Guest Post Climate Policy

Climate Change AI @ COP26

David Dao and 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.

CCAI News Climate Policy

Learning to Control Buildings Like an Engineer

Ján Drgoňa, December 21, 2021

A new approach to energy-efficient HVAC control infuses deep learning with guidance from physics.

Research Summary Buildings Hybrid Physical Models Reinforcement Learning

A datathon to empower women in climate change and data science

Nikola Milojevic-Dupont, Priya Donti, and Andrew Ross, 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.

Announcement Buildings Power & Energy

GANs for Dynamic Spatio-Temporal Patterns

Konstantin Klemmer, December 02, 2021

Deep generative modeling can help to accelerate and scale simulation of weather patterns and turbulent flows.

Research Summary Generative Modeling Climate Science & Modeling Computer Vision & Remote Sensing Time-series Analysis

Startups in the Climate Space: An Interview with Dr. Lauren Kuntz of Gaiascope

Geneviève Patterson, 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.

Interview Climate Finance & Economics

CCAI’s comments on the EU’s proposed Harmonized Rules on AI

Konstantin Klemmer, Lynn H. Kaack, and Jesse Dunietz, November 02, 2021

What role can the “high-risk” classification for AI systems play in addressing climate change?

CCAI Perspective Climate Policy

Introducing the CCAI blog

Jesse Dunietz, October 28, 2021

Hello, world!

Announcement

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