Urenio Watch Watch: Publications on Intelligent Cities / Smart Cities

Enabling Cognitive Smart Cities Using Big Data and Machine Learning

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.

Realizing the Potential of Blockchain

Realizing the Potential of Blockchain: A Multistakeholder Approach to the Stewardship of Blockchain and Cryptocurrencies is a white paper produced by World Economic Forum, that tries to shed light on blockchain governance challenges and multistakeholder cooperation opportunities. More specifically, this report provides a structured analytical framework and taxonomy for use by industry, technical, governmental, civil society and other stakeholders in considering how they might collaborate to resolve problems and unlock opportunities beyond the reach of any single actor.

Governing the Complexity of Smart Data Cities: Setting a Research Agenda

This chapter develops a research agenda for big and open data in smart cities on the basis of a thorough literature discussion of Actor Network Theory and the key concepts of urban governance and complexity. It sheds light on the challenges that emerge from the intensified interactions between the social and the physical aspects of urban dynamics in the smart city.

Data-driven dashboards for transparent and accountable decision-making

Ricardo Matheus, Marijn Janssen and Devender Maheshwari (2018) have recently published an article entitled “Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities” regarding the benefits of using data-driven dashboards for the governance of smart cities. According to their research, there are significant challenges that have to be considered when designing dashboards. They suggest a set of principles that can guide the design process in order to make the decision-making process more transparent and trustful.

Applicability of Big Data Techniques to Smart Cities Deployments

The current paper by Moreno et al. (2016) attempts to analyze the interest of big data for smart cities through the presentation of some applications in two scenarios. The first scenario deals with large volumes of heterogeneous information for use in smart building applications and the second one is centered on the public tram service in the city of Murcia, Spain.

Book: Information Innovation Technology in Smart Cities

This book presents a series of information technologies that provide better living conditions in the cities of tomorrow. It brings together research findings from 27 countries across the globe, from academia, industry and government. It addresses a number of crucial topics in state of the arts of technologies and solutions related to smart cities, including big data and cloud computing, collaborative platforms, communication infrastructures, smart health, sustainable development and energy management.

From Smart Cities to Experimental Cities?

Igor Calzada, lecturer and research fellow in Urban Transformations and the Future of Cities at the University of Oxford, has recentrly written a chapter in the book “Co-Designing Economies in Transition: Radical Approaches in Dialogue with Contemplative Social Sciences“, regarding the evolution of smart cities into a new category, the “experimental city”.   Starting with the deconstruction of the concept of “smartness”, Calzada attempts to foresee how citizenship could require a more active role in this new category.