Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a...

The Data Inquiries Initiative (http://datainquiries.publicdatalab.org/) proposes a new way to do research with data and to teach data literacy. It suggests, in particular, to...

Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...

This article describes an emergent logic of accumulation in the networked sphere, ‘surveillance capitalism,’ and considers its implications for ‘information civilization.’ The...

Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These...

Algorithms form an increasingly important part of our daily lives, even if we are often unaware of it. They are enormously useful in many different ways. They facilitate the...

How did the COVID-19 epidemics change our mobility habits, and how did it impact on people’s well-being and on the virus transmissibility? In the first webinar of the seminar...

Slide from the Summer School on Computational Misinformation Analysis 2019 lesson

The module aims to teach how to present the knowledge extracted from big data using multimedia story telling. It also shows some of the most recent and meaningful experiences...

The extraction of main content from web pages is an important task for numerous applications, ranging from usability aspects, like reader views for news articles in web...

This webinar was organised by the Network Medicine Exploratory (WP10) and hosted Enrico Maiorino. Enrico Maiorino is a very esteemed researcher at Brigham Women's Hospital,...

Mining with big data or big data mining has become an active research area. Running current analytical methodologies and software tools on a single personal computer cannot...

This paper shows data science’s potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science impacts science and society...

Our society is being shaped in a non-negligible way by the technological advances of recent years, especially in information and communications technologies (ICTs). The...

An introductory course for data mining and machine learning for social science. The course focuses on presenting typical data mining and machine learning techniques by using a...

This course developed by Universitat Politècnica de Catalunya and Barcelona Supercomputing Center provides an applied approach to Deep Learning. It chooses to present an...

The emergency of the Coronavirus imposes a cultural debate on the balancing of rights, freedoms and social responsibilities, finalized to the protection of individual and...

King’s College London developed a variety of data science materials based on R and Python. R is a de facto standard in statistical computing and visualisation, while our...

Informational self-determination refers to the right or ability of individuals to exercise personal control over the collection, use and disclosure of their personal data by...

The 'Database Module' aims to introduce database analysis, focusing on DBMS architecture, Relational Models, SQL language and SQL nested queries. It is part of the Master in...