Student community member
- Doctoral Student, School of Criminology, Université de Montréal
Thematic groups
- Industry 4.0, Work and Employment
- Law, Cyberjustice and Cybersecurity
- Ethics, Governance and Democracy
Manon Aigoin is a doctoral student at Université de Montréal's School of Criminology and a student researcher member of several research organizations, including OBVIA, IVADO, and the Human-Centric Cybersecurity Partnership. She is also volunteer coordinator of the Laboratoire de recherche sur la Technologie, l'Activisme et la Sécurité (LarTAS). Her research focuses on the use of artificial intelligence as an aid to criminal prediction in the field of public security in Quebec. Her doctoral project aims to explore the ethical and societal implications of predictive policing tools, by analyzing their appropriation in the field by police officers, their influence on police practices and their impact on society. Recipient of the Université de Montréal Artificial Intelligence Fellowship for 2025, Manon's research focuses on the tensions between technological innovation, social control and fundamental rights, while taking a critical approach to the integration of predictive technologies into public policy. Alongside her research, Manon Aigoin is very active in teaching and methodological training. She teaches psychocriminology and qualitative methods in criminology, and regularly runs methodological workshops on topics such as research in “hostile” environments, the art of the interview and field ethics. Her approach is based on an immersive and reflexive posture, inspired by the mantra “You don't do fieldwork, fieldwork does you” (Jacobs, 2011).