Current members
Camille is tenured full research scientist at CNRS in computer science after having been Associate Professor in sociology at Sciences Po Paris. His research focuses on the description and modeling of socio-semantic systems, in particular the digital public space and scientific communities, using Social Network Analysis and Natural Language Processing. He founded the team in 2012.
Telmo is specialized in Artificial Intelligence and its applications to the Social Sciences. He is broadly interested in the interplay between human and artificial intelligence in the digital public space. His research is currently focused on representations of knowledge for claim and belief propagation analysis.
PhD student researching the role of algorithmic guidance on music streaming platforms as part of the ANR-funded project, RECORDS. His research focuses on exploring differentiations between algorithmic and organic music consumption behaviours, tracing the degree to which commonly deployed filtering algorithms may expand or rather, constrain the diversity of one's music preference.
Quentin's research lies at the intersection of Computational Social Sciences, Complex Systems and Data Visualization. It focuses on the reconstruction of multi-level socio-technical dynamics from digital traces, with a particular emphasis on web archives mining and knowledge cartography. This interdisciplinary career as made Quentin as much a field researcher as a data analyst and a digital tool maker.
Ferdinand is a PhD student in Computer Science and Sociology. His researched focuses on the dynamics of online community and in a broader sense of social phenomena that can be represented with a temporal network structure. He attempts to leverage the tools of machine learning like Graph Neural Networks or Large Language Models and design them for social science studies.