معرفی
Elisabeth Gavignet serves as an Associate Professor in Computer Science at the Institut National Supérieur du Professorat et de l'Éducation (INSPE) within Université Bourgogne. Her academic career spans multiple institutions including Le2i Dijon, IUFM de Bourgogne, and CRIN Nancy, reflecting her deep engagement with both computer science and educational technology domains.
Her research centers on ontological frameworks and knowledge representation systems, with significant contributions to collaborative information systems, uncertain data modeling using modal logic, and musicological information management. Current projects include the Cocktail initiative for real-time analysis of food discourse on Twitter and the NEUMA platform for collaborative music score libraries. Her work bridges theoretical computer science with practical applications in archaeology, musicology, and educational technology.
Dr. Gavignet's scholarly output demonstrates consistent focus on knowledge engineering applications across diverse domains. Her recent publications emphasize modal logic applications for uncertain data, collaborative digital libraries, and ICT integration in educational settings. This interdisciplinary approach connects computer science fundamentals with domain-specific challenges in cultural heritage and education.
Administratively, she has held significant responsibilities including directing CAPET preparation programs, leading the Informatique-Économie et gestion network since 2011, and coordinating distance learning initiatives. Her laboratory affiliations include LIB (since 2018) and Le2i Dijon (2009-2018), where she contributed to multiple ANR-funded research projects.
