
معرفی
Tom Chevalier is a researcher affiliated with the Center for European Studies and Comparative Politics (CEE) and the Interdisciplinary Laboratory for the Evaluation of Public Policies (LIEPP) at Sciences Po. He is a CNRS research fellow at the Arènes laboratory, Sciences Po Rennes, where he conducts research on public policies targeting young people in Europe, with a focus on social, education, and employment policies, as well as poverty and youth political engagement.
His research interests include:
- Comparative analysis of public action
- Social, education, and labor market policies
- Inequalities and poverty
- Sociology of youth and life stages
- Political trust and citizenship
- Welfare state regimes and European comparisons
His recent publications (2019–2014) reveal a strong trend in analyzing youth welfare citizenship, institutional trust, and the political economy of youth unemployment across European countries. He employs comparative institutional and multilevel analytical frameworks, often contrasting France with Germany and other European nations. His work bridges political science, sociology, and public policy, contributing significantly to debates on youth integration, social protection, and democratic legitimacy.
Scientific awards and distinctions include:
- IEP Best Dissertation Competition Prize (l'Harmattan, 2012)
- Postdoctoral Researcher Prize by ESPAnet and Journal of European Social Policy (2015)
- Best Comparative Policy Paper Award by AFSP and Journal of Comparative Policy Analysis (2015)
Tom Chevalier has been actively involved in research grants and collaborative projects, particularly within the CEE and LIEPP. He has held postdoctoral positions at Harvard University and the University of Oxford and taught at the University of Paris II Panthéon-Assas. While no formal advisees are listed, his collaborative work with scholars like Bruno Palier indicates strong mentorship and team-based research. He is part of research teams focusing on social and health inequalities, public action, and mixed methods in social sciences.
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