Organisation/Company: CNRS
Department: Institut de Recherche Interdisciplinaire en Sciences Sociales
Research Field: Sociology, Juridical sciences, Criminology
Researcher Profile: Established Researcher (R3)
Country: France
Application Deadline: 26 Nov 2024 - 23:59 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 1 Feb 2025
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description STATIC project presentation: The "Sustaining the Antibiotic Infrastructure: Tools, Actors, Controversies" project is coordinated by Henri Boullier (sociologist, CNRS/IRISSO) in collaboration with teams from Cermes3 and the Institut Français de Pondichéry. Antibiotic resistance represents a major threat to public health, but one that is still attracting little attention, and remains understudied by the social sciences. Led by teams from the sociology of science, the STATIC project focuses not only on individual factors, but above all on the role that collective structures (public policies, markets, institutions, organizations, professions, etc.) might play in maintaining dependence on antibiotics. The project will document the debates and controversies surrounding the over-consumption of antibiotics, and will do so using a "One Health" approach, i.e. with attention to human, animal and environmental health issues. Empirically, the project's entry point is the study of controversies surrounding the regulation of antibiotic use (prescription practices, stewardship, labels) and the challenges they face.
Responsibilities:
Set up a research facility to provide a comprehensive account of the controversies surrounding the use of antibiotics.
Benchmark relevant sources to study the regulation of antibiotic use.
Collect multisource data (scientific publications, press, social media, reports) and construct a corpus.
Develop the design of the analysis phase, combining approaches from scientometrics, relational data analysis, media analysis, NLP, time series analysis, use of LLMs, and dynamic modeling of social interactions.
Use natural language processing (NLP) methods and LLMs to analyze textual data: extraction of named entities, identification of actants, arguments, and extraction of relationships between these entities.
Apply graph-theoretic methods to describe relationships between subjects, objects, and arguments.
Develop data visualization methods and adapt Knowledge Graph Embedding (KGE) visualization techniques.
Model interactions between actants using multi-agent AI approaches.
The person recruited will work in collaboration with the STATIC project teams headed by Henri Boullier, Research Fellow in Sociology (CNRS/IRISSO). He/she will be housed at the Institut de Recherche Interdisciplinaire en Sciences Sociales (UMR 7170 CNRS - Université Paris-Dauphine PSL - INRAE), where he/she will benefit from a workspace and access to the scientific environment and collective infrastructures of Université Paris-Dauphine.
Minimum Requirements:
Solid experience in the analysis of heterogeneous data in the social sciences.
Confirmed expertise in methods based on graph theory and their application in scientometrics.
Proven expertise in machine learning (ML).
Skills in natural language processing (NLP).
Ability to apply large language models (LLM) as tools in the social sciences.
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