The game-based nature of team sports can generate inter-individual variation in external training load, resulting in different internal training loads.

Monitoring training load is a fundamental process to maximize the physical capacity of athletes and to manage their fatigue throughout the season...

The growing availability of Electronic Health Records (EHR) and the continually increasing predictive power of Machine Learning (ML) models are boosting both research advances and the creation of business opportunities to deploy clinical decision support systems (DSS) in healthcare facilities.

Exploratory: Social Impact of AI and Explainable ML..

The need for new disease genes (or disease proteins) as putative candidates for diagnosis, treatment or drug targeting, motivated the development of a number of algorithms for predicting disease genes and modules.

Exploratory: Network Medicine..

The workshop aimed at enabling the sharing of experiences with Big Data and migration among an interdisciplinary set of researchers, institutions, and industry.
The collaboration network, the productivity, and the research impact of the studies of the researcher are possibly affected every time a researcher changes their host institution. For all these reasons, mobility - both international and domestic - is rightly considered a very important part of the research career.

Mobility is an important aspect of a researcher's life, affecting the career of the scientist in many ways: through the change of host institutions, new career opportunities are chased, positions with higher prestige acquired, stronger collaborati..

Ethical issues surrounding AI use in law often share a common theme. As AI becomes increasingly integrated within the legal system, how can society ensure that core legal values are preserved? (Surden, 2019)

In September 2020, Oxford University Press published The Oxford Handbook of Ethics and AI. This work comprises 44 different contributions divided in five sections and is edited by Markus D...

From 6th to 9th October 2020, the 12th International Conference on Social Informatics (SocInfo 2020), took place in a digital format...

SocInfo is an interdisciplinary venue for researchers from Computer Science, Informatics, Social Sciences, and Management Sciences to share ideas and opinions on societal priorities.

My experience participating in the organisation of the Social Informatics Conference (SocInfo)..


Against the background of the Covid-19 pandemic, which proves to provide fertile ground to intensify the ‘information disorder’ characterised by conspiracy theories and ‘alternative facts’, it is vital to underline the relevance of science and the..

Cities and urban communities can play a crucial role in the global work of improving sustainability.

Exploratory: Sustainable Cities for Citizens..

PassNet is the first step towards an automated event annotation system that may break the time and the costs for event annotation, enabling data collections for minor and non-professional divisions, youth leagues and, in general, competitions whose matches are not currently annotated by data providers.

Exploratory: Sports Data Science..

Mathematically speaking, the privacy risk value of an individual corresponds to the probability of being re-identified, depending on the background knowledge information the adversary has. We propose a new approach that uses Recurrent Neural Networks to predict the privacy risk for human mobility data.

Exploratory: Social Impact of AI and Explainable ML..

Network Medicine focuses on disease biology, including understanding disease etiology, identifying potential biomarkers, and designing therapeutic interventions, including drug targets, dosage, and synergism discovery.

Exploratory: Network Medicine..

Scientific migration has aroused growing interest in recent years due to its impact on governments' policies and institutions. We analyse the traits of highly-skilled people who emigrate to understand the movements' factors.

Exploratory: Migration studies..

Our aim is to provide analysis of exactly why dark data goes dark in the fair place, develop concrete strategies for how we might best enact the FAIR principles in an effort to reduce dark data, and finally to interrogate the FAIR principles themselves

Modern high-performance computing facilities (HPCs) generate a colossal amount of data...