Impeded Circulations
from June 6, 2024 to June 7, 2024
Published on April 8, 2024– Updated on April 9, 2024
Bridging theoretical and empirical approaches to the study of social dynamics
Venue: Paris
International conférence coordinated by Laura Hernandez, LPTM laboratory
The challenges that our societies face nowadays (pandemics, economical crisis, social inequality, climate change, etc.) require an interdisciplinary approach in order to understand the dynamics of the different socio-economical phenomena - opinion formation, norms or innovation adoption, integration of different constraints in mobility or consumption, cultural evolution- that are affected by these critical events. Formal modelling of social phenomena, by applying notions and tools of statistical physics, dynamical systems or network theory, have been successful in revealing the articulation between the interactions at the level of the individuals and their large-scale consequences. On the other hand, the access to big data bases, mainly using online social networks, has allowed for studies at an unprecedented large scale, of consensus formation or polarization around questions of social interest in particular, the formation and diffusion of rumors or fake news. The objective of the present workshop is to encourage exchanges of specialists issued from different disciplines, who apply different methodologies to the study of socio-economical phenomena in order to contribute to fill the gap between theoretical models and empirical studies.
More details
The challenges that our societies face nowadays (pandemics, economical crisis, social inequality, climate change, etc.) require an interdisciplinary approach in order to understand the dynamics of the different socio-economical phenomena - opinion formation, norms or innovation adoption, integration of different constraints in mobility or consumption, cultural evolution- that are affected by these critical events. Formal modelling of social phenomena, by applying notions and tools of statistical physics, dynamical systems or network theory, have been successful in revealing the articulation between the interactions at the level of the individuals and their large-scale consequences. On the other hand, the access to big data bases, mainly using online social networks, has allowed for studies at an unprecedented large scale, of consensus formation or polarization around questions of social interest in particular, the formation and diffusion of rumors or fake news. The objective of the present workshop is to encourage exchanges of specialists issued from different disciplines, who apply different methodologies to the study of socio-economical phenomena in order to contribute to fill the gap between theoretical models and empirical studies.
More details
