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Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including climate change, educational equity, health policy, and political polarization. In-class exercises and problem sets will provide students with the opportunity to use real-world datasets to discover meaningful insights for policymakers and communities. This course is the required gateway course for the new major in Data Science & Social Systems. Course material and presentation will be at an introductory level. Enrollment and participation in one discussion section is required. CS106A is the only prerequisite. Syllabus available here: https://docs.google.com/document/d/1fiGKmFStyQ2_Hr6E9jr-qHQaCx46JWxOyuhXsTfIQ8o/edit?usp=sharing