The Center for Data Science and Public Policy (DSaPP) at the University of Chicago is a joint center between The Harris School of Public Policy and the Computation Institute to further the use of data science in policy research and practice.
DSaPP is a leader in applied data science for public policy and social problems. Our mission is to conduct research in data science and public policy, work on applied research projects with government and non-profit partners to solve high-impact social problems, and create scalable, data-driven systems for improving public health, education, public safety, and economic development.
We bring together data scientists, researchers, and practitioners from Computer Science, Statistics, Math, Physical Sciences, Social Sciences, and Public Policy. Our work uses design and systems thinking to develop reusable, open-source software tools and data products. We combine methods and tools from predictive analytics and machine learning with rigorous social science methods to build systems that help solve large-scale social challenges.
We’re always interested in partnering with researchers, practitioners, and organizations. Please contact us if you have a problem or idea that you want to collaborate with us on.