Data. Policy. Impact. The Center for Data Science and Public Policy (DSaPP) at the University of Chicago is a collaboration between the Computer Science Department and the Harris School of Public Policy to further the use of data science in public policy research and practice. Our work includes educating current and future policymakers, doing data science projects with government, nonprofit, academic, and foundation partners, and developing new methods and open-source tools that support and extend the use of data science for public policy and social impact. Our team is made up of data scientists and researchers from computer science, statistics, and social science backgrounds to bring in methods from all of these disciplines, software engineers to make sure our work becomes usable code and implemented, topic and policy experts to provide context and relevance, and project managers who help get things done. Training and Education Programs Data Science Projects Research Areas Open Source Tools and Software We believe that effective use of data and computational methods is critical in making adaptive and personalized policies that improve lives of everyone in a measurable, fair, and equitable manner.
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