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Daniel Anderson is a Research Assistant Professor in the College of Education at the University of Oregon. His research lies at the intersection of measurement and large-scale policy, with a specific focus on educational inequities. He is particularly interested in computational approaches to educational and social science problems, including leveraging data from a variety of different sources and building predictive models. Much of his work also focuses on large-scale longitudinal data, including descriptive evaluations of students’ learning trajectories over time, and evaluations of factors influencing these trajectories. Daniel is currently leading the design, development, and teaching of a data science specialization for the college of education, with a sequence of three courses being piloted during the 2018-19 academic school year.