Twitter is useful not only for migration statistics but also on how topics spread across and throughout different migrant communities.

Traditional migration data sources such as census, survey, and register data have been the main sources of migration studies...

A study born in Pisa has developed an algorithm capable of anticipating seasonal ailments two weeks earlier than previous models. Read the full articles in the italian newspapers:..

DP is neither a silver bullet for all privacy problems nor a replacement for all previous privacy models. In fact, extreme care should be exercised when trying to extend its use beyond the setting it was designed for

Differential privacy (DP) was originally proposed for interactive statistical queries to a database...

Artificial Intelligence (AI) systems are increasingly outclassing human performances in many different fields and applications...

The online workshop “Contemporary Challenges in Migration: An Interactive Discussion on the MIRROR Platform” took place November 26th, 2020...

Stefano Cresci, selected from among 13 excellent short-listed nominees as the winner of the 2020 ERCIM Cor Baayen Award, has received the award in recognition of the outstanding scientific quality of his research and the impact on science and society that he has already achieved as a young researcher.

Artificial Intelligence is making its way into our lives at a growing pace...

The authors demonstrate that there are lower levels of support for redistribution when the share of immigrants in a region is higher.

Exploratory: Sustainable Cities for Citizens..

It is intuitively clear that the risk of crash might depend on the context where the user drives. For instance, traversing hazardous areas is expected to increase the risk of accidents.

The massive and increasing availability of mobility data enables the study and the prediction of human mobility behavior and activities at various levels...

The specific race context plays an important role in broadening and supporting women’s inclusion in sporting events.
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.

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