Skip to main content
Private Sources of Mobility Data Under COVID-19

Exploratory: Sustainable Cities for Citizens

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Exploratory: Social Impact of AI and Explainable ML

Computational methods for the analysis of online hate speech against refugees and migrants - Part 1 -

Exploratory: Migration Studies

Online hate speech deserves special academic attention because of its social implications, as it can be an important predictor of hate crimes towards vulnerable individuals or groups. In Europe, it has not stopped rising in recent years, while these types of crimes are also increasing. Müller & Schwarz, (2018) explain that there is a correlation between hate speech online and hate crimes, so it is essential to study these types of messages that are transmitted on social networks in order to prevent and counteract their effects.

The recurring racial bias in AI and Machine Learning

WP2: Responsible Data Science

Recently, there was a case that brought up - once again - the issue of bias in machine learning algorithms.

This is not a new issue per se, as in 2015 a black software developer tweeted about Google’s Photo service labelling him and a friend as “gorillas”. In 2018, a WIRED story highlighted that Google was still struggling to fix the issue with its software, and had resolved to removing the term “gorilla” and other primates from its image labelling lexicon.

GDELT: a unique, massive and open dataset for unfolding and understanding our society

Exploratory: Demography, Economy and Finance 2.0
 

Have you ever imagined a global database of society easily accessible and open for real time research? The Global Dataset of Events Location and Tone, or simply called GDELT (https://www.gdeltproject.org/) promises to be such a database, and it is supported by Google Jigsaw.

How digital data is changing how we measure well-being and happiness

What is well-being, and how can we measure it? This complex question has fascinated philosophers and thinkers since ancient times. For example, Aristotle has expressed his interest on the topic claiming that human well-being, labeled as eudaimonia (greek: ευδαιμονία: Eu=Good, Daimon=spirit), is an activity of the soul expressing complete virtue [11].

Transparency Issues in Tracing COVID-19

A need for new technological tools has emerged during the current Sars-Cov-2 pandemic. In particular, several mobile applications based on digital tracking and contact tracing have been developed, with ethical implications that have been addressed differently by a number of countries.

The SoBigData community published a white paper, entitled “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment” (https://bit.ly/whitepaper_covid_sobigdata). The white paper states: