In this paper, we present a general overview of the perspectives and issues of Big Data and Open Data in a Smart City, with specific implications for the municipality of Trento, Italy. We start by presenting the current state of the art of Big Data and Open Data in Trento and continue by proposing a line of development for these two topics that could positively impact the everyday life of its c...

Smart Cities have often been associated with an extensive ICT infrastructure supporting citizens to learn. A Human Smart City focuses on its citizens and the human infrastructure they create being key actors of city making processes with a special attention on service design, development and delivery. A Human Smart City leverages technology to enhance citizen engagement and social innovation, t...

Due to the increasing urbanization around the world, cities are growing at fast pace and following that, many cities face problems that includes both hard and soft issues. This can for instance be transportation, energy suppliance, social inclusion and quality of life for its citizens. As a way to contribute to solving these problems the smart city concept has emerged. This concept is focusing ...

We describe a nilpotent quotient algorithm for a certain type of infinite presentations: the so-called finite L-presentations. We then exhibit finite L-presentations for various interesting groups and report on the application of our nilpotent quotient algorithm to them. As result, we obtain conjectural descriptions of the lower central series structure of various interesting groups including t...

Can cities be smart? In this article we define what a smart city is and formulate categories and indicators of smart and/or informational cities. Based on these measures, we investigate four Japanese cities as case studies that appear to be highly developed modern metropolises. We focus on infrastructures essential for an informational city as base for a ubiquitous, smart (in a narrow sense), c...

Objectives 1. To consider the challenges of recruiting and retaining medical patients in trials of complex interventions, that include ‘psychological’ components. 2. To discuss practical solutions to these challenges that ensure trials recruit to target and maximise outcome data collection. Examples are taken from three trials of complex interventions: SMaRT Oncology-2, SMaRT Oncology-3 and SMa...