This report “Reclaiming the Smart City: Personal Data, Trust and the New Commons” was recently published by Nesta, as part of DECODE (DEcentralised Citizen Owned Data Ecosystems), a major EU Horizon 2020 project. Addressing some of the major flaws in how traditional smart city projects have approached data collection and use, it focuses on how and why city governments are taking a more responsible approach to the use of personal data. Continue reading
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Intelligent Cities / Smart Cities
The article “From Smart to Cognitive Cities: Intelligence and Urban Utopias ‘ by A. Psaltoglou was published in the 11th issue of Archidoct and discusses the relation between human intelligence and cities. Through briefly describing human intelligence and utopian thinking, it critically presents two current urban utopias, Smart and Cognitive cities and explores the role of technology as well as the concept of intelligence in both cases. Continue reading
The article “Architectures of Intelligence in Smart Cities: Pathways To Problem-Solving and Innovation” by Prof. N. Komninos was published in the 11th issue of Archidoct and discusses the concept of city intelligence. Through briefly describing the different types of city intelligence in both literature and practice, the article defines a universal architecture of city intelligence and the variables this is based. Continue reading 
Smart City Demonstrators is an extensive research report by Future Cities Catapult aiming to shed light on what can be learned from existing smart city solutions and services and inform the next generation of city-based projects. Continue reading
This guide is a collaborative effort of the Charter’ s Measurement and Accountability Working Group (MAWG) of the Open Knowledge International. It analyses the Open Data Charter principles and how they are assessed based on current open government data measurement tools. Governments, civil society, journalists, and researchers may use it to better understand how they can measure open data activities according to the Charter principles.
This article seeks to answer a series of conceptual questions related to smart city, such as what are its main characteristics, in what aspects people label some cities as smart etc, in order to conceptualize smart city for both academics and practitioners who use this concept. Continue reading
In this article, the authors shed light on the challenge of underutilizing the big data generated by smart cities from a machine learning perspective. In particular, they discuss the phenomenon of wasting unlabeled data and they argue that semi-supervision is a must for smart cities to address this challenge. Finally, they propose a three-level learning framework for smart cities that matches the hierarchical nature of big data generated by smart cities.