Master's Student in Political Science | Université Laval
I am a master's student in political science at Université Laval, where I study AI governance and how different actors, from industry to policymakers, shape what gets called "the public interest" in AI debates.
Going forward, I'm interested in both ends of the spectrum: how institutional elites construct governance norms, and how communities like free and open-source software movements articulate alternative visions. My work combines discourse analysis and computational methods in R, applied to legislative corpora from Canada, Europe, and the United States. I have contributed to a publication in Social Science Computer Review and collaborate with the Chair of Leadership in Teaching Digital Social Sciences at Université Laval.
My research lies at the intersection of political science, communication studies, and digital social sciences. I am particularly interested in:
Comprehensive training to get started with data analysis using R for social sciences. Introduction to R, data manipulation, basic visualizations, and elementary statistical analyses. Includes theoretical presentation, practical exercises, and complete R scripts.
Access the course →Comprehensive training on Zotero, the reference management software. Installation, collecting references, organization, integration with Word/LaTeX, advanced plugins to optimize your academic research workflow.
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