Social and Socio-technical Systems

We draw on our expertise in the modeling of social and socio-technical complex systems with the aim of expanding our fundamental understanding of collective effects in social systems, and of deploying digital twin technologies for realistic data-driven social simulations and its interplay with critical infrastructures. IFISC researchers have been investigating, among others: models of opinion dynamics, including non-linear interactions and aging; the relation between mobility efficiency and quality of life in cities; migration and integration of migrant communities in cities, using Big Data from ICT and online social network; understanding structure and competition processes between languages and cultural traits; or monitoring and modeling the dynamics of social networks.  

When considering the interplay between society and infrastructures, methodologies to increase the stability and resilience of the power grid subject to demand fluctuations and analyzing the robustness of renewable-energy power grids has been a topic of interest. Air transportation has been analyzed focusing on the dynamics of delays from an information processing and macro-scale perspective, identifying correlation and causality relationships.