Urenio Watch Watch: Cities

Is the New Economic Geography still Alive in 2023? Smart Algorithmic Places and AI Systems

Organized within the framework of ERSA 2023 Congress, this event is a collaborative effort between the Regional Science Academy and Paul Krugman, Peter Nijkamp, Karima Kourtit, and Yongda Yu. The day’s agenda features three paper sessions encompassing a total of ten papers, a special session dedicated to the scientific significance of Ake Andersson, and a […]

Three Decades of Research on Smart Cities

A new paper “Three Decades of Research on Smart Cities‘ by Ayyoob Sharifi, Zaheer Allam, Bakhtiar Feizizadeh, and Hessam Ghamari, published in Sustainability 2021, 13, 7140, gives an overview of the structure and trends in the literature on smart cities. It is a bibliometric analysis and science mapping using VOSviewer and CiteSpace to identify the […]

New book: Smart Cities in the Post-algorithmic Era

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 […]

New books from URENIO Research

Two new books based on URENIO Research projects and scientific collaboration are under publication. Smart Cities and Connected Intelligence is about digital and cyber-physical platforms that enable people, institutions and machines to connect, collaborate and resolve complex problems of the 21st century. Internet and world-wide-web platforms, big data analytics, software applications, social media and civic […]

NEWBITS presents high-level evidence-based recommendations to boost innovation diffusion in the ITS sector

Within the framework of the H2020 project NEWBITS (New Business Models for ITS), a benchmark analysis of ITS innovation diffusion processes between Europe and the United States was performed, to ground an evidence-based categorisation of success determinants and barriers affecting ITS deployment as well as to formulate key recommendations for successful technology transferability.