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....

A methodology per ranking soccer teams based on soccer logs

A machine learning classifier trained to categorise claims about COVID-19 into 10 categories proposed by the Reuters Institute for the Study of Journalism - Public authority...

This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data.

GeoTopics is a system to explore geographical patterns of urban activity. The system collects publicly shared check-ins generated by Foursquare users, that reveal who spends...

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 DecarboNet environmental annotation service identifies named entities, environmental terms, linguistic features and sentiment in social media texts.

The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. We developed...

WAT is an entity linker, namely a tool that identifies meaningful substrings (called "spots") in an unstructured English text and link each of them to the unambiguous entity...

This service tags tweets with part-of-speech information, e.g. nouns and verbs.

This method extracts event-centric collections of Web Archives through a focused crawling method. The key of this method is to adapt focused Web crawling to previously collected...

TRIPLEX is an explainability package for Transformer-based models fine-tuned on Natural Language Inference, Semantic Text Similarity, or Text Classification tasks. TRIPLEX...

M-Atlas is a mobility querying and data mining system centered onto the concept of spatio-temporal data. Besides the mechanisms for storing and querying trajectory data,...

Service that takes a list of URLs and assigns to each information on what multiple organisations who analyse the credibility of online content have said about the domain (or...

Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. Existing models focus on...

This algorithm allows to create a mobility profile of the users' mobility. A mobility profile is a set of representative trips selected from the entire set of trips of a user.

In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly...

This method estimates the wellbeing of a country by using an alternative measure to GDP. The proposed measure is the average sophistication of the satisfiable needs of a...

This method provides a Privacy Risk Assessment on CDR data, aggregated through the presence vectors used by the Sociometer.