Online Invited Seminar Talk
Human Mobility: from Data to Models and Back
Laboratory of Digital and Computational Demography
Online Invited Seminar Talk, October 20, 2020
Luca Pappalardo from the University of Pisa presented an overview of modeling principles of human mobility and relevant mobility-related tasks in his Online Invited Seminar Talk.
The inclusion of tracking technologies in personal devices opened the doors to the analysis of large sets of mobility data like GPS traces and call detail records. Luca Pappalardo presents an overview of both modeling principles of human mobility and relevant mobility-related tasks. In particular, we will go through: (1) human mobility data landscape; (2) key measures of individual and collective mobility; (3) mobility models at the level of individuals, population, and a mixture of the two
Luca Pappalardo graduated in 2007 (BS) and 2010 (MS) in Computer Science at the University of Salerno. In 2014 he got a Ph.D. in Computer Science at the University of Pisa. Luca has been a visiting scholar at Pontifícia Universidade Católica do Rio de Janeiro and at Northeastern University in Boston, a postdoc at Budapest University of Technology and Economics, and at the Department of Computer Science of the University of Pisa (2015-2017). Currently, he is a permanent researcher at the Institute of Information Science and Technologies of the National Research Council (ISTI-CNR) and a member of KDD-Lab, a joint research group with the Department of Computer Science at the University of Pisa. Luca's research activity focuses on big data analytics, aimed at the understanding of the statistical laws underlying human mobility and the development of AI-based generative algorithms of human trajectories. Recently, Luca focused on sports analytics, on the development of computer vision models to automate sports data collection and of explainable AI models to forecast the injuries of athletes. Luca published more than 50 papers and organized several workshops and tutorials at top academic and industrial conferences. He is an active developer of Python library scikit-mobility github.com/scikit-mobility/.