Monitoring regional PhA is more informative than total PhA on sprint and vertical-jump performance in elite young soccer players

An accurate estimate of athletes’ body composition may vary in accordance with the different assessment techniques used...

To know more about health among European immigrants can provide new insights related to social determinants of health in the migration context
Social media can be useful to extract valuable information concerning human dynamics and behaviors such as mobility before, during and after events.

Popular social media applications on smartphones (e.g. Facebook, Instagram, Twitter) enabled the creation of an unprecedented amount of user-generated content...

From June 1, 2022 to July 31, 2022, for two months, I had a privileged opportunity to visit the SoBigData++ team at Pisa, Italy, led by Prof. Fosca Gianotti at Scuola Normale Superiore (SNS) and Prof. Dino Pedreschi at University of Pisa...

The World Health Organization (WHO) announced on 11 March 2020 that the new coronavirus disease (i.e., COVID-19) could be classified as a pandemic due to its high contagi..

Nowadays graphs are ubiquitous since their flexibility to represent social and technological systems as networks of interacting units. With modern graph representation learning (GRL), such as embedding of nodes, we can overcome traditional machine learning techniques on graph-related tasks. Here we aim to fill the gap between node embeddings and their interpretability, in order to give human-understandable insights about their functioning.

Learning latent low-dimensional vectors of network’s nodes is the central aim of GRL [1], and nowadays node embeddings are crucial in order to solve machine learning tasks on graphs...

Considering that the global society is under socio-economic and political crisis and instability, policy-makers and peace-builders need to have frequent updates of peacefulness, and of the factors which influence its levels. Additional understanding of peacefulness could empower them to timely react to applying adequate policies, preventing detrimental societal effects, and contributing effectively to social well-being and progress.

Could data science help measure peacefulness and understand the factors that influence it?..

Why do we witness opinion polarization? This recent research has proved that the Friedkin-Johnsen opinion formation process can explain polarization and has determined the initial opinions that will produce the most polarizing effects.

For decades, researchers from different fields have been trying to understand how people form their opinions...

Soccer & Data Cup at Expo Dubai 2020 has been a 3-days international hybrid marathon of Sport Analytics combining fundamental techniques of data..

This paper describes all the features that could be used to predict injuries and all the possible preprocessing approaches, how to train and test the predictive models, and how to extract insights from interpretable and black box models.

With the technological advent of the last few decades, it is possible to record a huge quantity of data from athletes...

As the volume of online content and discussions grows, the amount of misinformation grows with it...

A TNA experience on ordinal quantification Trans-national access (TNA) @ ISTI-CNR, Pisa, Italy..

Look at these people. They look gorgeous, don’t they? Well, too bad they do not exist. These images are completely synthetic. How is it possible, by the way?..

In a team sports’ season, players likely experience congested fixture schedules, characterized by multiple games within a brief time period...

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