Sensoji at night
Jozef Rivest

Jozef Rivest

Welcome! I am a Ph.D. student at the University of Michigan. My research is situated at the intersection of public opinion, comparative politics, and international relations, with a regional focus on East Asia and the Indo-Pacific. Anchored in Japan and in comparison with South Korea and Taiwan, I currently study how historical legacies, such as wars, colonialism, and nation-building, shape the contemporary perspectives of citizens toward the military and the state. I also study research methods, with a primary focus on measurement and scaling techniques. I have also published a few papers on the use of AI in the social sciences, examining its accuracy in predicting and classifying political phenomena.

Research Areas

Below are listed how my research interests are at the intersection of public opinion, comparative politics, and international relations.

Public Opinion

I am interested in the study of attitudes and social norms, especially in a multilevel framework, especially subnational and cross-national differences and similarities.

Comparative Politics

I study how historical legacies, such as wars, colonialism, and state formation shape attitudes toward military institutions and nationalism in a comparative fashion across Japan, South Korea, and Taiwan.

International Relations

I am interested in how international events and geopolitical factors contribute to shaping citizens' perspective on foreign policy.

Research Methods

I am interested in a vast array of research methods and their implementation to uncover new answers to social and political questions. I primarily focus on measurement and dimensional analyses, but my interest goes well beyond psychometric methods and design.

Publications

For a complete list of my publications, including non-peer reviewed articles and conference papers please refer to my CV below.

  1. Foisy, L.-O. M., Proulx, É., Cadieux, H., Gilbert, J., Rivest, J., Bouillon, A., & Dufresne, Y. 2025. "Prompting the Machine: Introducing an LLM Data Extraction Method for Social Scientists". Social Science Computer Review, 0(0). https://doi.org/10.1177/08944393251344865
  2. Foisy, Laurence M., Jérémie Drouin, Camille Pelletier, Jozef Rivest, Hubert Cadieux & Yannick Dufresne. 2025. "Ain't no party like a GPT party: assessing OpenAI's GPT political alignment classification capabilities". Journal of Information Technology & Politics, December, 1-13. https://doi.org/10.1080/19331681.2024.2444587

Academic CV

Research Experiences and Academic Background

Download PDF Version

You can download the CV in PDF format to view it with your preferred PDF reader.