ABOUT THE PROJECT
socsemics will address several current challenges:
- developing a comprehensive theory of reinforcing and self-sustaining socio-semantic communities by appraising the social, semantic and socio-semantic realms simultaneously;
- drastically improving content analysis by replacing classical distributional approach with clause analysis, thus enabling quantitative approaches rendering the linguistic complexity of utterances in web corpuses;
- fostering the interface between these methods and qualitative approaches, especially through a couple of broad case studies;
interactive platforms implementing the above innovations and facilitating digital social research.
WHO WE ARE
The project has officially started being hosted at CNRS and Centre Marc Bloch in Berlin in 2019. At the moment, the members of the larger Computational Social Science team who are involved in socsemics include:
Camille is a tenured full research scientist at CNRS in computer science. Over the last decade, he also hold tenured professorships in sociology (Sciences Po Paris, U. Toulouse).
Telmo is specialized in Artificial Intelligence and its applications to the Social Sciences. His research is currently focused on representations of knowledge for claim and belief propagation analysis.
PHD STUDENT, CNRS
Katrin pursues an interdisciplinary PhD project in sociology linking social network analysis of polarized Internet communities in France and Germany with face-to-face Interviews.
ADMINISTRATEUR DE L'INSEE, TRAINING
Romain works as a trainee public statistician at INSEE (France). As a research assistant, he focuses on developing NLP approaches in order to better assess the semantic similarity between actors' online positions.
RESEARCH ENGINEER, CNRS
With a background in economics and statistics, Manuel then acquired a machine learning skillset. He will combine stance detection methods and network analysis in an empirical study of echo chambers on Twitter.
RESEARCH ENGINEER, CNRS
Titouan is a mathematics student specializing in statistics and machine learning. He will work on semantic hypergraphs with applications to debates on climate and energy policies.
RESEARCH ASSISTANT, CNRS
Jonathan intends to pursue a PhD in computational social science. His research focuses on the structure and dynamics of socio-semantic systems in digital niches using a mix of network theory, probabilistic programming, and natural language processing.
NOW PHD STUDENT, RIJKSUNIVERSITEIT GRONINGEN
NOW PHD STUDENT, SCIENCES PO PARIS
The Centre Marc Bloch in Berlin
JOIN THE TEAM
A few doctoral and potentially post-doctoral positions may be open in the coming years, principally in NLP and InfoViz. Prospective applicants may spontaneously contact us with a relevant research proposal.
We also propose research internships for various levels and durations. Please refer to the open positions on the dedicated page of the team main website: