Sylvain FONTAINE

Research topics

Provisional title: The epistemic impact of artificial intelligence in scientific research: diffusion models and transformation of scientific work,
Supervision: Floriana Gargiulo, Michel Dubois and Paola Tubaro,
Attached doctoral school: Concepts and Language (ED433),
Funding: PhD grant within the framework of the Mission for Transversal and Interdisciplinary Initiatives of the CNRS (EpiAI 2021-2024 project).

Gargiulo, F., Fontaine, S., Dubois, M., Tubaro, P. (2022) A meso-scale cartography of the AI ecosystem. Submitted. Avaliable preprint at https://arxiv.org/abs/2212.12263
Mullick, P., Fontaine, S., Appert-Rolland, C., Olivier, A.-H., Warren, W. H., Pettré, J. (2022). Analysis of emergent patterns in crossing flows of pedestrians reveals an invariant of ‘stripe’ formation in human data. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010210
Schawe, H., Fontaine, S., Hernández, L. (2021). When network bridges foster consensus. Bounded confidence models in networked societies. Phys. Rev. Research 3, 023208. https://doi.org/10.1103/PhysRevResearch.3.023208

October 2022 : SCAI PhD Workshop on Artificial Intelligence at Sorbonne University. Title: “The spreading of artificial intelligence in science: The neuroscience case”,
June 2022 : French Regional Conference on Complex Systems at Île-de-France Complex Systems Institute:
- “Flash talk” (5min) about “The spreading of artificial intelligence in science: The neuroscience case”,
- 15 minutes talk about “Meso-scale composition & interdisciplinary diffusion of Artificial Intelligence” (with F. Gargiulo et P. Tubaro),
May 2022: “Flash talk” (4min) at the thematic school Complex Networks: Theory, Methods, and Applications organized by the Lake Como School of Advanced Studies of the Fondazione Alessandro Volta (Como, Italy). Title: “A scientometric study of the diffusion of AI technologies in science: The neuroscience case”,
March 2022: short talk for the “Sociology of sciences and techniques” lectures in the last year of the master degree of Contemporary Sociology (Research track) at Sorbonne University. Title: “Artificial intelligence, a socio-technical system”.

January to May 2022: “Applied Social Networks” course in the first year of the master degree of Contemporary Sociology at Sorbonne University (theoretical introduction to social network analysis and tutorials on Gephi and Python + organization of a small talks session with researchers)

2020-2021: Last year of the master degree of Contemporary Sociology at Sorbonne University,
2017-2020: Bachelor and Master degrees of Fundamental Physics within the “Magistère” track of Paris-Saclay University. Specialty of the master degree: Physics of Complex Systems,
2015-2017: University preparatory class “Reinforced Scientific Studies” (intensive track), University of Nantes.