معرفی
Gilles JEANNOT is a Professor and President of the Humanities and Social Sciences (SHS) Department at the National School of Bridges and Roads (École des Ponts ParisTech), where he also serves as a researcher at the Latts laboratory (Laboratoire d’Analyse et de Théories Sociales). His work bridges academia and public policy, focusing on public service dynamics, civil servant experiences, and the transformative impact of digital technologies on governance and urban development.
**Education and Affiliations:**
- Doctorate (likely in Sociology or Public Policy, though exact details not specified).
- Member of Latts (CNRS-affiliated laboratory), collaborating with University of Marne-la-Vallée (now Université Gustave Eiffel).
- Involved in European research projects (e.g., FP7 COCOPS).
**Research Themes:**
- Public service users and their evolving relationships with administrative systems.
- Civil servants’ work conditions and the impact of management reforms.
- Smart cities and digital governance, including critiques of 'platform states' and data-driven urban policies.
- Neo-public management tools and their bureaucratic implications across European administrations.
**Teaching:**
- Courses on public action sociology/social movements for civil servants (MPAPDD program).
- Modules on quantitative methods and data use in management for engineering students (e.g., 'Power of Figures').
**Key Research Contributions:**
- Analyzed the 'digital privatization' of public services and its exclusionary effects.
- Explored tensions between bureaucratic tradition and modernization in French and European contexts.
- Documented civil servants’ perceptions of management reforms through surveys (e.g., INSEE, COCOPS projects).
**Funding & Collaborations:**
- Led interdisciplinary projects on smart cities and public administration.
- Collaborated with institutions like the CNRS, Universities of Marne-la-Vallée, and international partners (e.g., Barry Goodchild on cross-national urban policies).
**Current Focus:**
- Critiquing digital governance models (e.g., 'platform states') and their socio-technical regimes.
- Investigating how public administrations adapt to AI and data-driven policymaking.
