Analysis of activity traces to characterize skills in companies, for strategic management and individual academics

Period, duration

June 2023 to April 2024, 10 months

Profile required

Doctorate in computer science or mathematics

Financing

€ gross / month

ANR CaTCaP project

Location

Le Bourget-du-Lac ; Polytech Annecy-Chambéry ; Symme laboratory

Subject

Research context: the work is part of the multidisciplinary CaTCaP1 project in knowledge engineering, which aims to build a map of the company's effective skills based on the activity traces of the various players. Since skills are part of the company's intangible capital, the aim is to use models and graphic tools to represent the skills contained in the current practices and learning of the company's various players. The management and control of this capital will be carried out with a view to establishing winning strategies enabling organizations to develop their skills pool and intelligently mobilize the skills of the players by defining appropriate practices.

Assignments: the work carried out as part of the ANR CaTCaP project has enabled us to model effective individual and collective skills within organizations. A kinematic chain from trace to competence, via activity, has been established. Tools for analyzing traced interaction data have been used, and others for graphically representing skills are currently being developed.
The first task entrusted to us is to use graph theory to characterize skills maps, with a view to generating useful indicators for their exploitation.
The second task is to consolidate the skills maps using other tracing sources, both numerical and non-numerical, as well as semantic analysis tools.

Project team

Christophe Courtin, teacher-researcher, IUT de Chambéry - SYMME

Contact

christophe.courtin
@univ-smb.fr