Examining the changing nature of cities in the face of smart technology, this book studies key new challenges and capabilities defined by the Internet of Things, data science, blockchain and artificial intelligence. It argues that using algorithmic logic alone for automation and optimisation in modern smart cities is not sufficient, and analyses the importance of integrating this with strong participatory governance and digital platforms for community action. The book was edited by Nicos Komninos, Director, URENIO Research and Christina Kakderi, Department of Spatial Planning and Development, Aristotle University of Thessaloniki, Greece.
Posts Tagged ‘data science’
The research group Data and Web Science Lab at the Aristotle University of Thessaloniki, along with the Master of Science (MSc) in Data and Web Science are organising the IEEE/WIC/ACM WI’19 conference at Thessaloniki on 14-17 October, 2019.
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.