01227nas a2200133   4500008004100000245007400041210006900115520077700184100002100961700002200982700002501004700002001029856004401049       2019                        eng d00aHuman Mobility from theory to practice: Data, Models and Applications0 aHuman Mobility from theory to practice Data Models and Applicati3 aThe 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. This tutorial presents an overview of both modeling principles of human mobility and machine learning models applicable to specific problems. We review the state of the art of five main aspects in human mobility: (1) human mobility data landscape; (2) key measures of individual and collective mobility; (3) generative models at the level of individual, population and mixture of the two; (4) next location prediction algorithms; (5) applications for social good. For each aspect, we show experiments and simulations using the Python library ”scikit-mobility” developed by the presenters of the tutorial.1 aPappalardo, Luca1 aBarlacchi, Gianni1 aPellungrini, Roberto1 aSimini, Filippo  uhttps://doi.org/10.1145/3308560.3320099