Convergence evolution explains how different species evolve
with similar traits. Technology is perhaps the unifying element that brings all cities to a similar level of enablement and operational control.
Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects.
“Designing cities as biomimetic, self-regulating ecosystems augmented by artificial intelligence, machine learning and blockchain, smart cities can monitor human patterns in real-time, enabling the rebalancing of the environment and the operations of the city.”
Operating system typologies relating all elements within the living system from Macro to Micro.
Urban OS as the convergence of human user experience, physical infrastructure and software applications.
New forms of communication emerging between human, nature and machine intelligence.
Smart connected objects imbedded within diverse scales and environments from buildings to people to nano objects.
Christopher is a multidisciplinary professional and educator with more than 30 years’ experience spanning the fields of urban planning, architecture, new media, and branding. Living and working in international hubs of innovation—Milan, New York, Dubai, Beijing, Bangkok, Rio de Janeiro, and London—he has been involved in all phases of pro
Christopher is a multidisciplinary professional and educator with more than 30 years’ experience spanning the fields of urban planning, architecture, new media, and branding. Living and working in international hubs of innovation—Milan, New York, Dubai, Beijing, Bangkok, Rio de Janeiro, and London—he has been involved in all phases of project implementation including the research, planning, design, and business of technology integration, urban development, and smart cities. He is currently a Visiting Professor at Henley Business School Informatics Research Centre, University of Reading, United Kingdom, and has previously taught at Parsons School of Design, Harvard GSD, and Tsinghua University where he co-founded the Design Beijing Lab with Dr. Zhiyong Fu.
Zhiyong has more than 20 years teaching and research experience in the fields of information design, interaction design, service design, and social innovation related to human–computer interface and smart cities. Dedicated to educational program development and cross-institutional collaboration, he has established workshops, innovation la
Zhiyong has more than 20 years teaching and research experience in the fields of information design, interaction design, service design, and social innovation related to human–computer interface and smart cities. Dedicated to educational program development and cross-institutional collaboration, he has established workshops, innovation labs, and special joint research projects around the world. He is currently an Associate Dean of China-Italy Design Innovation Hub at Tsinghua University, Vice Director of China Innovation and Entrepreneurship Education Research Center and serves as the Secretary-General for China Information and Interaction Design Committee (IIDC) and Vice President of the International Chinese Association of Human Computer Interaction (ICACHI).
As the first chapter in this comprehensive anthology, we describe the future direction of cities as autonomous, self-regulating, biomimetic systems based on principles in nature and evolution itself.
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