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One of the best parts of my job is getting to meet with smart people who are thinking about big problems. Our subject this time was how data can help improve educational outcomes for Black and Latino students and students from low-income backgrounds. All of the participants are studying either education or public policy, and each one was hand-picked by their university to take part in our discussion. We were also joined by a couple of experts who are already working on education data initiatives.
Our foundation—like most organizations—relies on data to make decisions. In global health, we helped create a group called the Institute for Health Metrics and Evaluation to make data easier to access and study. For example, researchers are able to look at the causes of childhood deaths around the world and see which specific pathogens are responsible in which areas. We know more about why young children die than why older ones drop out of school.
Part of the problem is that the objectives are somewhat less clear when it comes to education. With global health, the goal is obvious: you want kids to survive and thrive into adulthood.
Is the goal for all students to graduate? To get a good job after college? To be thoughtful, well-rounded adults? As a result, education data here in the United States is often incomplete, incompatible, or difficult to use.