Teaching
Fall 2025
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Future Politics
- An interdisciplinary seminar examining how speculative fiction can illuminate political theory, social change, and the future of democracy. Students read science fiction and pair it with scholarly work on institutions, power, and inequality.
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Introduction to Applied Statistics in Political Science: Description, Comparison, Estimation, Inference
- First-term statistics course for political science PhD students focusing on description, comparison, estimation, and testing.
Spring 2025
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Statistical Adjustment and Inference the Linear Model
- Second-term statistics course for political science PhD students focusing on regression models, statistical adjustment, and inference. Emphasizes understanding assumptions, diagnostics, and causal interpretation.
Fall 2024
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Statistical Adjustment and Inference the Linear Model
- Second-term statistics course for political science PhD students focusing on regression models, statistical adjustment, and inference. Emphasizes understanding assumptions, diagnostics, and causal interpretation.
Fall 2023
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Future Politics
- An interdisciplinary seminar examining how speculative fiction can illuminate political theory, social change, and the future of democracy. Students read science fiction and pair it with scholarly work on institutions, power, and inequality.
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Causal Inference
- A graduate-level course on the design and analysis of randomized experiments and observational studies. Topics include potential outcomes, matching, randomization inference, and sensitivity analysis.
Spring 2023
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Statistical Adjustment and Inference the Linear Model
- Second-term statistics course for political science PhD students focusing on regression models, statistical adjustment, and inference. Emphasizes understanding assumptions, diagnostics, and causal interpretation.
Fall 2003
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PS599 - Statistical Methods in Political Research
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PS496 - Seminar on Political Participation