This paper documents the experiences of those living under state surveillance. We
interviewed our participants about how they lived under threat, and how it changed their …

Automatically collected behavioral data on the location of users of mobile phones offer an
unprecedented opportunity to measure mobilization in mass protests, while simultaneously …

A systemic model for making sense of health data is presented, in which networked foresight
complements intelligent data analytics. Data here serves the goal of a future systems …

Recent advances in machine learning have enabled its wide application in different
domains, and one of the most exciting applications is autonomous vehicles (AVs), which …

Occupancy sensor-based smart lighting is very practical because the light status can change
automatically according to human activity under the lighting area. However, on the other …

This chapter surveys three emerging issues concerning geospatial data mining: the need to
extend patient privacy protections beyond HIPAA, the use of geospatial visualization and …

Resting on our experience of computational epidemiology in practice and of industrial
projects on analytics of complex networks, we point to an innovation opportunity for …

Lessons learned from three projects, which focused on the development and envisioning of
infrastructures for future digital services, are presented. Leveraging on a comparative study …

A triangular (case, theoretical, and literature) study approach is used to investigate if and
how social collective intelligence is useful to computational epidemiology. The hypothesis is …

Data produced by mobile networks are frequently presented as useful to understanding
social phenomena related to human behavior. The risks associated with making use of …