We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …

Human-AI coevolution, defined as a process in which humans and AI algorithms
continuously influence each other, increasingly characterises our society, but is …

The rise of large-scale socio-technical systems in which humans interact with artificial
intelligence (AI) systems (including assistants and recommenders, in short AIs) multiplies the …

Recommendation systems and assistants (in short, recommenders) are ubiquitous in online
platforms and influence most actions of our day-to-day lives, suggesting items or providing …

Numerous real-life smart city application scenarios require joint analytics on unified views of
georeferenced mobility data with environment contextual data including pollution and …

Traffic assignment (TA) is crucial in optimizing transportation systems and consists in
efficiently assigning routes to a collection of trips. Existing TA algorithms often do not …

The proliferation of human-AI ecosystems involving human interaction with algorithms, such
as assistants and recommenders, raises concerns about large-scale social behaviour …

Meeting today's major scientific and societal challenges requires understanding dynamics of
prosociality in complex adaptive systems. Artificial intelligence (AI) is intimately connected …

The increased usage of navigation technologies has caused conflicts in local traffic
management, resulting in congested residential areas among other challenges for residents …

The problem of traffic assignment consists of determining the routes taken by the users of
transportation infrastructure. This problem has been the subject of numerous studies …