Lindsay Lab

Teaching

I usually teach Data Literacy for Psychology (PSYCH-UA 8) in the Fall and Machine Learning for Climate Change (DS-UA 301) in the Spring. In Spring 2025, I also taught (with Marcelo Mattar) a graduate course on neural network models of the mind and brain. For videos covering academic papers that apply AI to climate change and ecology, check out my YouTube channel 5 minute papers on AI for the Planet

Course Materials

Machine Learning for Climate Change (Spring 2026)

The course is ongoing. Materials will be posted here weekly. Any instructors interested in using materials for their own course, please contact Grace directly to access all lectures and readings.

2025 Syllabus - The 2026 syllabus will be posted soon.

Machine Learning for Climate Change (Spring 2023 - old class format)

Syllabus. Course Overview/Introduction to Climate Science | The Problem of Climate Change | Energy Efficiency - Buildings and Cities | Energy Efficiency - Supply and Demand | Tracking GHG Emissions - Estimation Methods | Tracking GHG Emissions - Transportation | Food and Agriculture - Problems and Opportunities in Agriculture | Food and Agriculture - Food Packaging and Waste | Alternative Energy - Renewables | Carbon Dioxide Removal - Biological and Chemical | Midterm Review | Project Instructions | Influencing People/Climate Communication | Climate Finance | Career Day | Disaster Response | Health Impacts | Extreme Weather Prediction | Predicting Food Shortages | Automated Farming | Climate Migration