Luca Pappalardo’s research explores how large-scale human behavior can be studied through data.

Main themes

Human mobility

Understanding movement patterns, urban flows, and the structure of cities through data-driven models.

AI and society

Studying how artificial intelligence shapes online behavior, social systems, and collective dynamics.

Complex systems

Using computational methods to analyze networks, socio-economic patterns, and emergent behavior.

Institutional context

His work is connected with ISTI-CNR and with research initiatives linked to Scuola Normale Superiore, including FAIR-related activities.