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COMM 382B: Research Seminar in Computational Social Science

Technological advances have generated massive datasets available to use for research. Graduate students are increasingly well trained in computational and statistical techniques, but often encounter resistance from publishers and reviewers when applying these techniques. This is a graduate research seminar in which students will carefully read cutting-edge works in computational social science, and discuss in detail their theory, data and empirical methods, and overall scientific contribution. We will consider what makes these works successful, and participants will present in the seminar. Instructor approval required for non-Ph.D. students to enroll. May be repeated for credit.
Terms: Win | Units: 1-3 | Repeatable for credit | Grading: Letter or Credit/No Credit
Instructors: Pan, J. (PI)
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