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Dr. T.N. (Trevor) Incerti

Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Challenges to Democratic Representation

Bezoekadres
  • Nieuwe Achtergracht 166
  • Kamernummer: B10.04
Postadres
  • Postbus 15578
    1001 NB Amsterdam
  • Profile

    Trevor Incerti is an Assistant Professor of Political Economy in the Department of Political Science at the University of Amsterdam. He is affiliated with the Challenges to Democratic Representation Programme Group. 

    Trevor's primary area of research is in comparative political economy, with a focus on the role of money in politics and business influence in politics. Additionally, he explores how economic stimuli shape political behavior and preferences. Much of his work focuses on East Asia, particularly Japan. He also conducts research in quantitative methods, where he is particularly interested in the reliability and validity of measurement strategies. Trevor’s research is published in the American Journal of Political ScienceAmerican Political Science Review, British Journal of Political Science, Journal of Politics, and Political Analysis, among other outlets.

    Trevor received his Ph.D. from Yale University and B.A. from the University of California, Berkeley. He is also a Faculty Affiliate at the Georgetown University School of Foreign Service Asian Studies Program and an Expert at the Leiden Asia Centre, and was previously a Postdoctoral Fellow at the Weatherhead Center for International Affairs at Harvard University. Prior to academia, he worked in data science and economic consulting.

  • Research

    Research methods

    • Experimental design
    • Causal inference
    • Field experiments
    • Survey design

    RPA 

    • Polarisation
  • Publicaties

    2024

    2023

    • Amano, K., Dominguez, M. S., Fraser, T., Gagnon, E., Incerti, T., Jang, J., McClean, C. T., Mitchell, A. M., Miyano, S., Moreshead, C., Saijo, H., Stanescu, D., Teraoka, A., Yamagishi, H., Willis, C. N., Woo, Y., & Crabtree, C. (2023). Field Research When There’s Limited Access to the Field: Lessons From Japan. PS, Political Science & Politics, 56(1), 99-105. https://doi.org/10.1017/S1049096522000932 [details]

    2021

    • Incerti, T. N., Mattingly, D., Rosenbluth, F., Tanaka, S., & Yue, J. (2021). Hawkish partisans: How political parties shape nationalist conflicts in China and Japan. British Journal of Political Science, 51(4), 1494-1515. https://doi.org/10.1017/S0007123420000095
    • Incerti, T., & Lipscy, P. (2021). The energy politics of Japan. In The Oxford Handbook of Energy Politics (pp. 562–589). (Oxford Handbooks). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190861360.013.21

    2020

    • Incerti, T. N. (2020). Corruption information and vote share: A meta-analysis and lessons for experimental design. American Political Science Review, 114(3), 761-774. https://doi.org/10.1017/S000305542000012X

    2018

    2013

    • Incerti, T. N., Lipscy, P., & Kushida, K. (2013). The Fukushima disaster and Japan’s nuclear plant vulnerability in comparative perspective. Environmental Science and Technology, 47(12), 6082-6088. https://doi.org/10.1021/es4004813

    2021

    • Incerti, T., & Lipscy, P. (2021). The Politics of Energy and Climate Change in Japan under the Abe Government. In T. Hoshi, & P. Lipscy (Eds.), The Political Economy of the Abe Government and Abenomics Reforms (pp. 445-476). Cambridge University Press. https://doi.org/10.1017/9781108921145.015

    2016

    • Lipscy, P., Kushida, K., & Incerti, T. N. (2016). Were Japan’s Nuclear Plants Uniquely Vulnerable. In E. Blandford, & S. Sagan (Eds.), Learning from Fukushima: Improving Nuclear Safety and Security after Accidents Stanford University Press.

    2024

    • Incerti, T. (2024). jNPO. Universiteit van Amsterdam. https://github.com/tincerti/jNPO
    • Mattingly, D., Incerti, T., Ju, C., Moreshead, C., Tanaka, S., Yamagishi, H., Ju, C., Mattingly, D., Incerti, T. & Ju, C. (2024). Replication Data for: Chinese State Media Persuades a Global Audience That the "China Model" Is Superior: Evidence from a 19-Country Experiment. Harvard Dataverse. https://doi.org/10.7910/dvn/cq4fzr

    2023

    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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