Urenio Watch Watch: Collaborative Innovation

When technology activists meet neighbours in Plaça del Sol

community_peopleThe ‘Botellón no me deja dormir΄ project is a collaborative project co-created by the community of neighbours in Plaça del Sol and technology activists from the project Making Sense EU. A diverse group of people collaborated in order to measure the levels of noise pollution in an attempt to claim a more convivial and inclusive public space.

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.

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.

Strategic Directions: Smart Cities & Utilities Report

Black & Veatch just released 2018 Strategic Directions: Smart Cities & Utilities Report. The report explores the current landscape of smart city efforts, as 2017 marked an inflection point for initiatives around the world. The report finds that Big Data’s potential to improve community quality of life while making critical human infrastructure more efficient and sustainable is overcoming lingering fears about costs. Bold advances in data analytics, electric transportation and next-generation communications systems are propelling smart city development, while creative financing strategies challenge old notions about massive upfront investments.

Big Data and Smart Cities: a literature review

This research entitled “Addressing big data challenges in smart cities: a systematic literature review”    by Sumedha Chauhan, Neetima Agarwal, Arpan Kumar Kar, is focused on discovering the approaches to deal with challenges associated with Big Data in smart cities. To do so, a systematic literature review was conducted to identify such challenges and potential strategies or solutions to deal with Big Data challenges. The results of this paper contribute valuable information to the Big Data practitioners by illustrating the process of effective management of Big Data in smart cities.