This document discusses the issue of school dropouts. It defines a school dropout and lists some common characteristics like demographic factors, health issues, and mental illness. It describes the impacts of dropping out such as decreasing the talent pool of a nation, less earnings, and more government expenses. The document proposes using big data like login frequency, social media usage, clickstream data, and keyword detection to help identify early signals of potential dropouts. It recommends prevention methods like social assistance programs, special awareness programs, regular follow-ups, and sports to help prevent students from dropping out. The key takeaways focus on improving skills and addressing legal/regulatory requirements when using data to tackle the complex issue of school dropouts.