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Field NotesWhat we're learning about AI and the environment

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Track

Which side of the problem is this on?

AI for the environment 12 Greener AI 4

Environmental problem

What environmental problem does it work on?

Carbon and climate 6 Water 2 Oceans 2 Biodiversity and species 7 Air quality 3 Energy 5 Land and forests 1 Agriculture and food 0 Plastics, waste and pollution 1 Transportation 1

Environmental goal

What is it trying to achieve?

Cut emissions 7 Adapt and build resilience 1 Understand and monitor 10 Respond and recover 1 Protect species and habitats 5 Reduce pollution 1

Setting

Where does it happen?

Ocean 4 Freshwater 1 Forest 5 Farmland 0 City 3 Home 1 Industrial sites 1 Data centers 3 Power grid 4

AI's role

How central is AI to the work?

Core 11 One tool among many 1 Subject 1 None or minimal 3

What the AI does

What job does the AI do, in plain words?

Making sense of sensor data 5 Recognizing images 5 Recognizing sounds 3 Forecasting 3 Finding patterns 3 Optimizing systems 2 Processing text and documents 0

ML technique

Which machine-learning method? (for technical readers)

Computer vision 6 Time-series forecasting 3 Classification 5 Clustering 0 Reinforcement learning 0 Large language models 1 Optimization 2 None or not technique-specific 4 Other 0

Scale

How big is it?

Personal 1 Community 0 Organization 1 Regional or government 8 Industry 3 Global 6

Learnings Projects

1 project

Rescuing EJScreen and other environmental justice data

Public Environmental Data Partners. Running

When federal agencies took environmental justice tools offline in early 2025, the Public Environmental Data Partners rebuilt and re-hosted them, including EPA's EJScreen, the Climate and Economic Justice Screening Tool, and CDC's...

⚠ Not yet claimed by the project owner or their organization. This information may not be completely accurate.

Field Notes is an open collection run by Dr. Karen Boyd. Entries come from the people who did the work, or from public sources until a team claims them.

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