The AI for Earth program applies machine learning and data science to hard challenges in agriculture, water, climate, and biodiversity. The lifeblood that powers machine learning is data. Many AI for Earth grant recipients have developed innovative ways to collect data. I'll showcase the usage of UAV/drone imagery, camera trap data, simulation, crowdsourcing, and social media to gather data for some interesting machine learning problems in the conservation and sustainability space. We will cover the innovations in how data is collected, as well as the machine learning algorithms used to solve these challenges.