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.

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)

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

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

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.

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.

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

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.

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

Through the analysis, we not only measure the monthly peacefulness per country, but we also discover the most important socio-economic, political, and military factors that capture peacefulness or extraordinary events. For example, the most important factors for Somalia are related to military engagement and improvised explosives showing the war-torn profile of the country.

I am grateful to SoBigData++ for giving me this opportunity to work on this project. I have learnt numerous things and it was an honour to work with people who are at the forefront of natural language processing research.

Indeed, the new normality is most new on urban working days!

This dataset would give researchers and companies the chance to have a ground truth of several psychophysiological responses to develop predictive models and thus passively assess people's everyday life following wrist-worn devices estimating their well-being.