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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 Research Funding Research Summary Biodiversity Forestry Agriculture Drones

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 Deep Learning Research Funding Research Summary Material Science

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 Conservation Research Funding Research Summary Geospatial Data

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 Mangrove Shrimp Aquaculture Conservation Research Funding Research Summary

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 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 Systems Career Story

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 Computer Vision & Remote Sensing Research Summary

Circularity in Fashion, powered by AI

Alan Fortuny Sicart, February 13, 2023

An alternative focus for AI in the fashion industry

Industry Post Fashion Circularity Footprint Mitigation

Getting your academic resume ready for industry

Kelly Kochanski, December 02, 2022

A guide for researchers to upgrade their industry job hunts

Career Guide Resume Industry Career Transition

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 Research Summary Climate Finance Natural Language Processing Mitigation Adaptation COP27

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 Energy Sector Industry Innovation Data Science

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 Last Mile Simulations Logistics Transportion Sustainability Cities Research Summary

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 Glaciers Deep Learning Satellite Imaging Computer Vision & Remote Sensing Research Summary

Tackling Climate Change with Machine Learning Workshop at NeurIPS 2022

Peetak Mitra, September 12, 2022

Author information for Climate Change AI's workshop

Announcement NeurIPS Workshop Events Author Information

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 Flood Satellite Imaging Geospatial Data Computer Vision & Remote Sensing Agriculture Flood Risks Extreme Tropical Weather Responses Research Summary

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 Mangrove Shrimp Aquaculture Conservation Research Funding Research Summary

Carbon Capture, Extreme Weather, and Disaster Management

Mark Roth, May 31, 2022

A recap of CCAI’s first reading groups

CCAI News Carbon Capture Earth Systems Modeling Adaptation

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

Announcement Innovation Grants Climate Change AI Mitigation Adaptation Award Research Funding

The paper that launched CCAI

David Rolnick, March 08, 2022

Looking back at “Tackling Climate Change with Machine Learning”

CCAI Perspective Climate Change AI Machine Learning Mitigation Adaptation Retrospective

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 Methane Career Story

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 Methane EPA 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 Policy Events

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 & Control

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 Data Science Energy Efficiency Events

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 GAN Earth Systems Modeling Computer Vision & Remote Sensing Spatio-temporal Dynamics Generative Models

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 Startups Industry

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 EU Regulation Policy

Introducing the CCAI blog

Jesse Dunietz, October 28, 2021

Hello, world!

Announcement Blog Admin