This document discusses using data and crowdsourcing to do good. It describes how data and machine learning can help non-profits automate tasks, develop smarter strategies, and better target their efforts. However, many non-profits lack data skills and resources. Crowdsourcing competitions on platforms like DrivenData help address this gap by engaging volunteers to analyze data for social causes. The document provides examples of how non-profits have used data for action, impact measurement, and outlines ways individuals can get involved in "data for good" through groups, events, fellowships or donating their skills.