City-AI Coevolution
Visiting speaker
Luca Pappalardo
Senior Researcher at ISTI-CNR and Associate professor at Scuola Normale Superiore di Pisa
Past Talk
Hybrid
Wednesday
Feb 12, 2025
Watch video
10:00 am
EST
Moretown 101, London Campus
Moretown 101, London Campus
Virtual
Moretown 101, London Campus
177 Huntington Ave.
11th floor
11th floor
Devon House
58 St Katharine's Way
London E1W 1LP, UK
58 St Katharine's Way
London E1W 1LP, UK
Urban environments are increasingly shaped by the coevolution of cities and AI, where human behavior and AI algorithms continuously influence and reshape one another. From navigation services rerouting traffic, to ride-hailing platforms altering mobility patterns, to location-based recommender systems steering foot traffic, AI is becoming a powerful force in urban dynamics. These transformations are often amplified by a feedback loop in which user behaviors generate data that train algorithms, which in turn guide future behaviors, sometimes leading to unforeseen or unintended urban outcomes. Despite its growing significance, this phenomenon remains largely understudied in the fields of AI and complexity science. In this talk, I will explore the methodologies used to quantify the city-AI feedback loop, present approaches to modeling these dynamics, and showcase examples of ongoing research from my lab in this area.
About the speaker
About the speaker
Luca Pappalardo is a senior researcher at the National Research Council of Italy (CNR), an associate professor at Scuola Normale Superiore of Pisa, and a member of SoBigData.eu, the European research infrastructure on big data analytics and social mining. With a degree in Computer Science, Luca started exploring massive datasets of human movements, publishing several papers on human mobility analysis and modelling. In a natural evolution of his research trajectory, Luca shifted focus to the pressing issue of urban congestion, pioneering efforts centered on designing innovative routing strategies that balance individual travel optimization with the collective well-being of a city. Luca is now broadening his scope to address the profound impact of AI on complex systems in realms like social media, conversational systems, online retail and, of course, urban environments. His overarching goal is to design next-generation algorithms that balance the individual needs of users with broader collective objectives using tools at the intersection of computer science, network science, and computational social science.
Luca Pappalardo is a senior researcher at the National Research Council of Italy (CNR), an associate professor at Scuola Normale Superiore of Pisa, and a member of SoBigData.eu, the European research infrastructure on big data analytics and social mining. With a degree in Computer Science, Luca started exploring massive datasets of human movements, publishing several papers on human mobility analysis and modelling. In a natural evolution of his research trajectory, Luca shifted focus to the pressing issue of urban congestion, pioneering efforts centered on designing innovative routing strategies that balance individual travel optimization with the collective well-being of a city. Luca is now broadening his scope to address the profound impact of AI on complex systems in realms like social media, conversational systems, online retail and, of course, urban environments. His overarching goal is to design next-generation algorithms that balance the individual needs of users with broader collective objectives using tools at the intersection of computer science, network science, and computational social science.
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