Roxane de la Sablonnière is a full professor in the Department of Psychology at the University of Montreal. She serves as the director of the Laboratory on Social Change, Adaptation, and Well-being (CSAB) and is the co-founder of the InterCom Project. Her research focuses on the realities people face when exposed to dramatic social changes, such as those caused by the COVID-19 pandemic and colonization. She has worked with various groups that have experienced social changes, including in Russia, Kyrgyzstan, Mongolia, and South Africa. Her diverse projects aim to enhance our understanding of social dynamics in the context of dramatic social change and identify the most beneficial interventions for collective well-being.
Mathieu Pelletier-Dumas is a research advisor within the CSAB laboratory. He completed a Master's degree in Sexology at the Université du Québec à Montréal before pursuing a Ph.D. in Social Psychology at the University of Montreal. From 2020 to 2022, he conducted a postdoctoral fellowship at the CSAB laboratory, during which he focused on the impacts of the clarity and coherence of government measures during the COVID-19 pandemic. His research interests include significant changes that people face (social and personal changes), identity, and negative behaviors (discrimination, prejudice, disruptive behaviors in video games).
Caroline Lebeau is a citizen collaborator within the CSAB laboratory and in the Component 1 of the Quebec COVID-Pandemic Network (RQCP), titled Prevention, Community, and Well-being. She undertakes projects by mobilizing stakeholders in the health and education network, including researchers, community partners, and citizens. As a dedicated social entrepreneur, she has founded several non-profit projects or organizations such as the InterCom Project and les Événements Mieux comprendre la diversité. She is also the founder and director of la Tournée Édu4tive, an organization with a mission to raise awareness among the general public through activities that promote individual differences and openness to others, particularly in the context of the inclusion of people with disabilities.
Eric Lacourse is a full professor in the Department of Sociology at the University of Montreal and co-director of the Laboratory on Social Change, Adaptation, and Well-being (CSAB). He is also in charge of the interdisciplinary program in sociology and psychology at the University of Montreal. The overall goal of his research is to gain a nuanced understanding of the social aspects associated with the development of emotional, cognitive, and behavioral regulation from childhood to adulthood. He adopts a multidisciplinary perspective that integrates theoretical concepts from developmental psychology and education, psychiatry, criminology, and sociology. His most recent work focuses on integrating machine learning approaches into latent variable models for complex data.
Thesis topic: Dynamic processes of identity integration
Thesis topic: COVID-19 and the second virus: Profiles, evolution, and factors associated with biases towards different groups in Canada during and post-pandemic
Thesis topic: Evaluation of a community intervention of group workshops in clinical and social psychology: a quasi-experimental study
Thesis topic: How to predict the mobilization of Canadians for Black Lives Matter in the context of the pandemic
Thesis topic: A longitudinal study of prejudice towards people of Chinese origin during the COVID-19 pandemic: The influence of threat perceptions on prejudice
Thesis topic: As the pandemic evolves, so do the health behaviors of the Canadian population
Thesis Topic: Negative emotions and the development of alcohol and cannabis consumption during the COVID-19 pandemic: the moderating role of self-compassion.
Honors thesis topic: The implementation of the InterCom Project: a collective solution to a collective problem
Thesis topic: Social change and mental health: Using the Social Change Algorithm to assess the psychological impacts of the COVID-19 crisis in Canada
Research topic: Don't tell me what to do: A machine learning approach to understanding adherence to psychological reactance trajectories throughout the COVID-19 pandemic