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.

Separated into three parts, the book moves from looking at the academic establishment of the smart city paradigm as an advanced system of innovation, to focusing on major technologies and the governance of smart cities. Chapters explore other sources of intelligence available in cities within both institutions and platforms, including human intelligence, innovation, and collective intelligence, with insights on how to combine algorithmic logic in these areas of competence to become much more effective.

Offering a crucial understanding of how cities and regions can adopt the smart city paradigm, this book will be a useful read for policy-makers and stakeholders involved in the design and implementation of smart city strategies. Urban studies and planning scholars, post graduate students, as well as those researching the built environment, will benefit from the blend of theoretical and practical knowledge offered in the book.

Contributors include: M. Angelidou, A.-V. Anttiroiko, D. Bechtsis, F. Duarte, C. Kakderi, N. Komninos, I. Kompatsiaris, K. Kourtit, V. Loscri, N. Mitton, L. Mora, V. Moustaka, P. Nijkamp, J. Oskam, A. Özdemir, R. Petrolo, A. Panori, C. Ratti, A. Reid, H. Schaffers, I. Tsampoulatidis, A. Vakali, S. Zhang

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.

Separated into three parts, the book moves from looking at the academic establishment of the smart city paradigm as an advanced system of innovation, to focusing on major technologies and the governance of smart cities. Chapters explore other sources of intelligence available in cities within both institutions and platforms, including human intelligence, innovation, and collective intelligence, with insights on how to combine algorithmic logic in these areas of competence to become much more effective.

Offering a crucial understanding of how cities and regions can adopt the smart city paradigm, this book will be a useful read for policy-makers and stakeholders involved in the design and implementation of smart city strategies. Urban studies and planning scholars, post graduate students, as well as those researching the built environment, will benefit from the blend of theoretical and practical knowledge offered in the book.

Contributors include: M. Angelidou, A.-V. Anttiroiko, D. Bechtsis, F. Duarte, C. Kakderi, N. Komninos, I. Kompatsiaris, K. Kourtit, V. Loscri, N. Mitton, L. Mora, V. Moustaka, P. Nijkamp, J. Oskam, A. Özdemir, R. Petrolo, A. Panori, C. Ratti, A. Reid, H. Schaffers, I. Tsampoulatidis, A. Vakali, S. Zhang

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.

Separated into three parts, the book moves from looking at the academic establishment of the smart city paradigm as an advanced system of innovation, to focusing on major technologies and the governance of smart cities. Chapters explore other sources of intelligence available in cities within both institutions and platforms, including human intelligence, innovation, and collective intelligence, with insights on how to combine algorithmic logic in these areas of competence to become much more effective.

Offering a crucial understanding of how cities and regions can adopt the smart city paradigm, this book will be a useful read for policy-makers and stakeholders involved in the design and implementation of smart city strategies. Urban studies and planning scholars, post graduate students, as well as those researching the built environment, will benefit from the blend of theoretical and practical knowledge offered in the book.

Contributors include: M. Angelidou, A.-V. Anttiroiko, D. Bechtsis, F. Duarte, C. Kakderi, N. Komninos, I. Kompatsiaris, K. Kourtit, V. Loscri, N. Mitton, L. Mora, V. Moustaka, P. Nijkamp, J. Oskam, A. Özdemir, R. Petrolo, A. Panori, C. Ratti, A. Reid, H. Schaffers, I. Tsampoulatidis, A. Vakali, S. Zhang