4th SoBigData++ Awareness Panel Webinar Programme Decentralized anonymization of mobility data Speaker: Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)...

The seminar aims at providing a preliminary definition of the state-of-the-art upon automatic methods for systematized urban green data collection. The talk focuses on the...

These tutorials show how to use the already implemented libraries for the anonymization and antidiscrimination of data sets: - Anonymization library:...

Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. On the one hand, existing...

Our objective is to measure the Global Peace Index (GPI) at a monthly frequency, as compared to the official annual GPI score, to have more frequent updates of peacefulness....

We created a dataset that comprises the mobile phone activity of sixty-five participants for whom the geographical coordinates of their residence location are known. The...

We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of...

We conducted experiments on mobility flows in England, Italy, and New York State to show that Deep Gravity achieves a significant increase in performance, especially in...

We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272...

In this experiment we simulate the mobility of individuals in New York City, London, and Tokyo, using STS-EPR. For each city, we compare the synthetic trajectories generated...

We propose a segregation model incorporating mobility constraints to make agents select their location based on distance and location relevance. This study fills this gap by...

The objective of this study was to investigate the association between regional and total phase angle (PhA) with lower-body neuromuscular performance in young elite soccer...

Hematocrit, Hemoglobin, number of red blood cells, testosterone, and ferritin were the most important features that allowed to profile players and to analyze the response to...

Soccer & Data Cup at Expo Dubai 2020 will be a 3-days international hybrid marathon of Sport Analytics combining fundamental techniques of data analysis and Artificial...

Background – This study aimed to analyse the relationship of regional and whole body morphology to vertical jump performance and to compare the morphological features outlining...

the scope of the Special Issue is to advance knowledge of the factors affecting sports performance and recovery emphasizing the use of novel strategies to alleviate and...

During Finnmarksløpet (FL, one of the longest distance sleddog races in the world), veterinarians are exposed to extreme environmental conditions and tight working schedules,...

As mobility within the European Economic Area (EEA) is on the rise, it is important to understand migrants’ health-related behaviors (such as physical activity [PA]) within...

The fact that kinesio tape may be capable to enhance muscle power would qualify it as practical tool to be considered during passive warm-up (WU) or coupled with active WU...

This study aimed to analyse the relationship of regional and whole body morphology to vertical jump performance and to compare the morphological features outlining high and...