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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