Lecture, three hours; discussion, two hours. Requisite: course 10A. Limited to first-year students. Data-based computation (i.e., algorithms, artificial intelligence, predictive modeling) increasingly play a dominant role in shaping everyday experiences of culture and society. Data and data analytics define everything from social relations and public policy to juridical status and market logistics. Study pursues thinking about ethics and justice in a data-driven society but focus on concrete case studies. Students gain critical understanding of technology sector, and also learn of community-engaged models of deploying data skills for social justice. P/NP or letter grading.