A promising vehicle for a smart government is the exploitation of the large amount of heterogeneous data that becomes available increasingly. The field of Big Data (BD) responds to this promise by leveraging the potentials of such data. In this paper, a systematic approach is adopted to argue why the …

MELTING POT is making hidden spaces of Luxembourg's unknown industrial history accessible and brings public life to the sites. Cultural heritage not only needs architectural transformation but also a smart community orientated program. This program is inspired by the history of the site and the values …

Distributed ledger technologies (DLTs) such as blockchain have in recent years been presented as a new general-purpose technology that could underlie many aspects of social and economic life, including civics and urban governance. In an urban context, over the past few years, a number of actors have …

Distributed ledger technologies (DLTs) such as blockchain have in recent years been presented as a new general-purpose technology that could underlie many aspects of social and economic life, including civics and urban governance. In an urban context, over the past few years, a number of actors have …

The full potential of predictive maintenance has not yet been utilised. Current solutions focus on individual steps of the predictive maintenance cycle and only work for very specific settings. The overarching challenge of predictive maintenance is to leverage these individual building blocks to obtain …

This chapter explores the use of “responsive” or “interactive” urban media technologies as a tool or “building block” in the (re)design of urban public spaces. This is especially relevant as in the last two decades, urban development and digital technologies have brought out new types of urban typologies …

In recent years, a step change has been seen in the rate of adoption of Industry 4.0 technologies by manufacturers and industrial organizations alike. This article discusses the current state of the art in the adoption of Industry 4.0 technologies within the construction industry. Increasing complexity …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for …

This report consists of two parts and describes the highlights of the investigations carried out in the Province of Groningen as part of the Right Project to understand the Regional Innovation Ecosystem in the region. The first part is focusses on the socio-economic and R&D profile (Part 1A) and a SWOT …