معرفی
Jean-François Godbout is a Professor in the Department of Political Science at the Université de Montréal and an Associate Academic Member of Mila - the Quebec AI Institute. He directs the undergraduate program in Big Data Analytics in Social Sciences and Humanities at UdeM and conducts interdisciplinary research through the Complex Data Lab.
- Affiliated with IVADO (AI Consortium)
- Member of CÉRIUM (International Research Centre) and CECD (Democratic Citizenship Centre)
His research focuses on:
- Data Science applications in political institutions
- AI Safety and generative AI's impact on political attitudes
- Misinformation Mitigation through large language models
- Comparative Political Development in Canadian and Lower Canada contexts
- Legislative Institutions and voting records analysis
- Political Polarization in online societies
Recent publications analyze social media disinformation, AI persuasion on harmful topics, and education-focused text simplification. His articles frequently combine graph mining, machine learning, and political science methodologies.
Scientific collaborations include:
- Mila researchers (Andreea Musulan, Maximilian Puelma Touzel)
- IVADO data science initiatives
- McGill University interdisciplinary projects
He supervises students in:
- Political science (Julien Robin, Matthew Taylor)
- Artificial Intelligence (Kellin Pelrine, Camille Thibault)
- Computational social science applications
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