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.
PHD STUDENT, CNRS
With a background in mathematics and data science, Lena is a PhD student researching socio-semantic clusters in online conversations. Her work will focus on describing the nature of such clusters, the dynamics that lead to their emergence and stability, as well as their meta-level configurations.
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.
INTERN, IISER PUNE
Govind is a physics major interested in network theory and AI. He is focusing on extending a framework to describe the evolution of socio-semantic networks over time, using local rules.
NOW ADMINISTRATEUR AT INSEE
MSC STUDENT AT ENS LYON
NOW MSC STUDENT AT THE VERMONT COMPLEX SYSTEMS CENTER
NOW PHD STUDENT, RIJKSUNIVERSITEIT GRONINGEN
NOW PHD STUDENT, SCIENCES PO PARIS
The Centre Marc Bloch in Berlin
JOIN THE TEAM
A doctoral position may soon open in InfoViz.
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: