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Getting your academic resume ready for industry

A guide for researchers to upgrade their industry job hunts
Career Guide Resume Industry Career Transition

Using Machine Learning to Track International Climate Finance

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

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

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.
Research summary Last Mile Simulations Logistics Transport Sustainable transport Cities

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

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.
Research summary Glaciers Deep Learning Satellite Imagery Remote Sensing

Tackling Climate Change with Machine Learning Workshop at NeurIPS 2022

Author information for Climate Change AI's workshop
Announcement NeurIPS workshop events author information

Detecting Flooding in Fiji’s Croplands

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.
Research summary flood satellite imaging geospatial data computer vision agriculture flood risks extreme tropical weather responses

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

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
Research summary mangrove shrimp aquaculture conservation research funding innovation grants

Carbon Capture, Extreme Weather, and Disaster Management

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

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

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

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 methane

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

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

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

A new approach to energy-efficient HVAC control infuses deep learning with guidance from physics.
Research summary buildings hybrid physical models reinforcement learning and control

A datathon to empower women in climate change and data science

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

Deep generative modeling can help to accelerate and scale simulation of weather patterns and turbulent flows.
Research summary GAN Earth systems modeling remote sensing spatio-temporal dynamics generative models

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

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

What role can the “high-risk” classification for AI systems play in addressing climate change?
CCAI perspective EU regulation policy

Introducing the CCAI blog

Hello, world!
Announcement blog admin