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scdenney/README.md

Steven Denney

Assistant Professor of International Relations and Korean Studies, Leiden University

I bridge digital humanities with quantitative social science to study national identity, migration, and political change.

Research Focus

  • Experiments and survey design
  • Machine learning and computational text analysis
  • Large language models for political discourse
  • Nations, nationalism, and immigration attitudes

Selected Teaching (AY2025-26)

Current Projects

Recent Publications

  • Denney, S., Steinhardt, H. C., & Bhowmick, L. (2026). Identity conformity in Taiwan and South Korea: Why citizens in divided societies are pressured to overstate national pride. Nationalism and Ethnic Politics. https://doi.org/10.1080/13537113.2026.2616954
  • Brehm, R. C., Denney, S., & Zhou, T. (2025). From division to democracy: Integrating post-socialist citizens in Germany and South Korea. Communist and Post-Communist Studies, 1–24. https://doi.org/10.1525/cpcs.2025.2636997
  • Ward, P., & Denney, S. (2025). Welfare chauvinism in divided societies: The role of national identity in social policy preferences. Policy and Society. Advance online publication. https://doi.org/10.1093/polsoc/puaf027
  • Ward, P., & Denney, S. (2025). Partisan voters in party systems with ephemeral parties: Evidence from South Korea. Party Politics, 0(0), 1–15. https://doi.org/10.1177/13540688251339976

Popular repositories Loading

  1. open-science-skills open-science-skills Public

    A library of Agentic Skills for Claude Code and LLM agents, codified from experimental social science standards and methodological texts.

    2

  2. textbook-identity-aks textbook-identity-aks Public

    Text analysis of Korean history textbooks and survey experiment on national identity persistence.

    1

  3. datasharing datasharing Public

    Forked from jtleek/datasharing

    The Leek group guide to data sharing

  4. courses courses Public

    Forked from DataScienceSpecialization/courses

    Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

    HTML

  5. sotw-2018-dataviz sotw-2018-dataviz Public

    Forked from thedaisTMU/sotw-2018-dataviz

    State of Tech Workers 2018 Data Viz

    R

  6. ROK_conjoint_immigrants ROK_conjoint_immigrants Public

    Replication materials for “Who Should be Admitted? Conjoint Analysis of South Korean Attitudes toward Immigrants”

    R