Computational and Machine Learning Models: The Necessity of Connecting Theory and Empirics

See Also

• [Book]Prediction and Cumulative Knowledge in the Social Sciences — Cambridge University Press (Strategies for Social Inquiry series). Forthcoming.
• [Book]Computational and Mathematical Modeling in the Social Sciences — Cambridge University Press
• [Paper]Untangling Neural Networks — American Political Science Review, 98(2)
• [Paper]Linking Theory and Empirics: The Importance of Research Communities — The Oxford Handbook of Engaged Methodological Pluralism in Political Science
• [Paper]Rashomon Histories: What the Data Support Is Bigger Than What We Report — Under review
• [Paper]Using Large Language Models to Analyze Political Texts Through Natural Language Understanding — American Journal of Political Science
• [Dataset]Replication Data for The Governance Cycle in Parliamentary Democracies — Cambridge University Press
• [Book]The Governance Cycle in Parliamentary Democracies: A Computational Social Science Approach — Cambridge University Press (Studies in Comparative Politics)