At Duke, we use data to solve many real-world problems, with an emphasis on problems that impact social good. This includes work in healthcare, criminal justice, fake news, and in other areas. Duke is particularly strong in methodology related to data science, including model interpretability, data privacy, causal inference, and computer vision. Much of this research spans multiple disciplines and is collaborative in nature. In particular, we collaborate with researchers in statistics, mathematics, electrical and computer engineering, economics, public policy, law, biology, medicine, and more.