Data Science & Public Policy

This course will bridge the gap between data science and public policy in several exciting ways. By drawing on a diverse student body – consisting of students from SIPA and the Data Science Institute – we will combine domain-level policy expertise with quantitative analytical skills as we work on cutting-edge policy problems with large amounts of data. Throughout the semester, students will have the opportunity to analyze real-world datasets on a broad range of policy topics, including, for example, data on Russian trolls disseminating misinformation on social media, data on Islamic State recruitment propaganda on the Internet, and granular information on natural disasters that can facilitate preparedness for future hazards. In addition, students will work in interdisciplinary policy – data science teams on semester-long projects that develop solutions to policy problems drawing on big data sources. By the end of the course, students will gain hands-on experience working with various types of data in an interdisciplinary environment – a setting that is becoming more and more common in the policy world these days.