Collective Intelligence for Smart Cities

Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy & environment, and sustainability. It also focuses on the role of IoT, cloud computing, and big data specifically in smart city development. What ties these topics together is the book's unique overarching focus on Collective Intelligence (CI). A concept for quantifying mass activity familiar to many social science and life science researchers, Collective Intelligence for Smart Cities explores how group decision-making emerges from the consensus of the collective, collaborative, and competitive activities of many individuals. The book concludes with an overview of future directions of research. Provides collective intelligence-based solutions to enhance smart city well-being Recommends strategies to ensure smart city sustainability and optimization Considers cloud-based data processing approaches for managing data collected from smart city applications Uses case studies to shows successful application in a variety of smart city contexts

Deeper City is the first major application of new thinking on ‘deeper complexity’, applied to grand challenges such as runaway urbanization, climate change and rising inequality. The author provides a new framework for the collective intelligence – the capacity for learning and synergy – in many-layered cities, technologies, economies, ecologies and political systems. The key is in synergistic mapping and design, which can move beyond smart ‘winner-takes-all’ competition, towards wiser human systems of cooperation where ‘winners-are-all’. Forty distinct pathways ‘from smart to wise’ are mapped in Deeper City and presented for strategic action, ranging from local neighbourhoods to global finance. As an atlas of the future, and resource library of pathway mappings, this book expands on the author’s previous work, City-Region 2020. From a decade of development and testing, Deeper City combines visual thinking with a narrative style and practical guidance. This book will be indispensable for those seeking a sustainable future – students, politicians, planners, systems designers, activists, engineers and researchers. A new postscript looks at how these methods can work with respect to the 2020 pandemic, and asks, ‘How can we turn crisis towards transformation?'

As cities compete globally, the Smart City has been touted as the important new strategic driver for regeneration and growth. Smart Cities are employing information and communication technologies in the quest for sustainable economic development and the fostering of new forms of collective life. This has made the Smart City an essential focus for engineers, architects, urban designers, urban planners, and politicians, as well as businesses such as CISCO, IBM and Siemens. Despite its broad appeal, few comprehensive books have been devoted to the subject so far, and even fewer have tried to relate it to cultural issues and to assume a truly critical stance by trying to decipher its consequences on urban space and experience. This cultural and critical lens is all the more important as the Smart City is as much an ideal permeated by Utopian beliefs as a concrete process of urban transformation. This ideal possesses a strong self-fulfilling character: our cities will become ‘Smart’ because we want them to. This book opens with an examination of the technological reality on which Smart Cities are built, from the chips and sensors that enable us to monitor what happens within the infrastructure to the smartphones that connect individuals. Through these technologies, the urban space appears as activated, almost sentient. This activation generates two contrasting visions: on the one hand, a neo-cybernetic ambition to steer the city in the most efficient way; and on the other, a more bottom-up, participative approach in which empowered individuals invent new modes of cooperation. A thorough analysis of these two trends reveals them to be complementary. The Smart City of the near future will result from their mutual adjustment. In this process, urban space plays a decisive role. Smart Cities are contemporary with a ‘spatial turn’ of the digital. Based on key technological developments like geo-localisation and augmented reality, the rising importance of space explains the strategic role of mapping in the evolution of the urban experience. Throughout this exploration of some of the key dimensions of the Smart City, this book constantly moves from the technological to the spatial as well as from a critical assessment of existing experiments to speculations on the rise of a new form of collective intelligence. In the future, cities will become smarter in a much more literal way than what is often currently assumed.

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 & visualization, sensors, and smart connected objects to name a few. These recent advances in AI move us closer to developing operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Understanding cities as real-time, living, dynamic systems coupled with new tools including generative design allows readers to plan, manage, and optimize city operations, making cities more efficient and sustainable with the ultimate goal of becoming self-regulating. Smart Cities and Artificial Intelligence provides a transdisciplinary, integrated approach, using theoretical and applied insights to examine how the digital and physical worlds are converging and how a new combination of human and machine intelligence is capable of transforming the experience of the urban environment. It provides a fresh holistic perspective on smart cities through an interconnect stream of theory, methodology, system architecture, and the application of Smart City Functions to define an integrated process of the design, planning, and implementation of smart cities.

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.

Smart cities, where technology is used to solve every problem, are hailed as futuristic urban Utopias. But in The Smart Enough City, Ben Green warns against seeing the city only through the lens of technology. In a technology-centric smart city, self-driving cars have the run of downtown and force out pedestrians, civic engagement is limited to requesting services through an app, police use algorithms to justify and perpetuate racist practices, and governments and private companies surveil public space to control behavior. He proposes instead that cities strive to be "smart enough," employing technology to be livable, democratic, just, responsible, and innovative. By recognizing the complexity of urban life rather than merely seeing the city as something to optimize, these smart enough cities successfully incorporate technology into a holistic vision of justice and equity. Book jacket.

This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019.The 117 full papers presented were carefully reviewed and selected from 200 submissions. The papers are grouped in topical sections on: computational collective intelligence and natural language processing; machine learning in real-world data; distributed collective intelligence for smart manufacturing; collective intelligence for science and technology; intelligent management information systems; intelligent sustainable smart cities; new trends and challenges in education: the university 4.0; intelligent processing of multimedia in web systems; and big data streaming, applications and security.

This book reviews the applications, technologies, standards, and other issues related to Smart Cities. The book is divided into broad topical sections including Vision & Reality, Technologies & Standards, Transportation Considerations, and Infrastructure & Environment. In these sections, authors who are experts in their fields present essential aspects of applications, technologies, requirements, and best-practices. In all cases, the authors have direct, substantive experience with the subject and present an important viewpoint driven by industry or governmental interests; the authors have each participated in the development and/or deployment of constituent technologies, standards, and applications, and share unique perspectives on key areas of the Smart City.

The concept of smart cities offers a revolutionary vision of urban design for sustainability. Utilizing the intelligent application of new technologies, smart cities also incorporate considerations of social and environmental capital in order to transform the life and work of cities. This book brings together papers from leading international experts on the transition to smart cities. Drawing upon the experiences of cities in the USA, Canada and Europe, the authors describe the definitional components, critical insights and institutional means by which we can achieve truly smart cities. The resulting volume will be of interest to all involved in urban planning, architecture and engineering, as well as all interested in urban sustainability. This book was published as a special issue of Intelligent Buildings International.

Smart City Emergence: Cases from Around the World analyzes how smart cities are currently being conceptualized and implemented, examining the theoretical underpinnings and technologies that connect theory with tangible practice achievements. Using numerous cities from different regions around the globe, the book compares how smart cities of different sizes are evolving in different countries and continents. In addition, it examines the challenges cities face as they adopt the smart city concept, separating fact from fiction, with insights from scholars, government officials and vendors currently involved in smart city implementation. Utilizes a sound and systematic research methodology Includes a review of the latest research developments Contains, in each chapter, a brief summary of the case, an illustration of the theoretical context that lies behind the case, the case study itself, and conclusions showing learned outcomes Examines smart cities in relation to climate change, sustainability, natural disasters and community resiliency

"A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind"--Human and machine capabilities working together--has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results? Gathering insights from diverse fields, including philosophy, computer science, and biology, Big Mind reveals how collective intelligence can guide corporations, governments, universities, and societies to make the most of human brains and digital technologies. Geoff Mulgan explores how collective intelligence has to be consciously organized and orchestrated in order to harness its powers. He looks at recent experiments mobilizing millions of people to solve problems, and at groundbreaking technology like Google Maps and Dove satellites. He also considers why organizations full of smart people and machines can make foolish mistakes--from investment banks losing billions to intelligence agencies misjudging geopolitical events--and shows how to avoid them. Highlighting differences between environments that stimulate intelligence and those that blunt it, Mulgan shows how human and machine intelligence could solve challenges in business, climate change, democracy, and public health. But for that to happen we'll need radically new professions, institutions, and ways of thinking. Informed by the latest work on data, web platforms, and artificial intelligence, Big Mind shows how collective intelligence could help us survive and thrive"--Publisher's website.

Key concepts, definitions, examples, and historical contexts for understanding smart cities, along with discussions of both drawbacks and benefits of this approach to urban problems. Over the past ten years, urban planners, technology companies, and governments have promoted smart cities with a somewhat utopian vision of urban life made knowable and manageable through data collection and analysis. Emerging smart cities have become both crucibles and showrooms for the practical application of the Internet of Things, cloud computing, and the integration of big data into everyday life. Are smart cities optimized, sustainable, digitally networked solutions to urban problems? Or are they neoliberal, corporate-controlled, undemocratic non-places? This volume in the MIT Press Essential Knowledge series offers a concise introduction to smart cities, presenting key concepts, definitions, examples, and historical contexts, along with discussions of both the drawbacks and the benefits of this approach to urban life. After reviewing current terminology and justifications employed by technology designers, journalists, and researchers, the book describes three models for smart city development—smart-from-the-start cities, retrofitted cities, and social cities—and offers examples of each. It covers technologies and methods, including sensors, public wi-fi, big data, and smartphone apps, and discusses how developers conceive of interactions among the built environment, technological and urban infrastructures, citizens, and citizen engagement. Throughout, the author—who has studied smart cities around the world—argues that smart city developers should work more closely with local communities, recognizing their preexisting relationship to urban place and realizing the limits of technological fixes. Smartness is a means to an end: improving the quality of urban life.

In 15 similarly structured chapters, Transitioning to Smart Cities: Mapping Political, Economic, and Social Risks and Threats serves as a primer on smart cities, providing readers with no prior knowledge on smart cities with an understanding of the current smart cities debates. Gathering cutting-edge research and insights from academics, practitioners and policy-makers around the globe, Transitioning to Smart Cities identifies and discusses the nascent threats and challenges contemporary urban areas face, highlighting the drivers and ways of navigating these issues in an effective way. Uniquely providing a blend of conceptual academic analysis with empirical insights, Transitioning to Smart Cities produces policy recommendations that boost urban sustainability and resilience. With the multiplicity of qualitatively new issues and developments in these debates, Transitioning to Smart Cities offer an invaluable framework on current developments shaping today and tomorrow's urban Combines conceptual academic approaches with empirically-driven insights and best practices Offers new approaches and arguments from inter and multi-disciplinary perspectives Provides foundational knowledge and comparative insight from global case-studies that enable critical reflection and operationalization Generates policy recommendations that pave the way to debate and case-based planning

Untangling Smart Cities: From Theory to Practice helps all key stakeholders understand the complex and often conflicting nature of smart city research, offering valuable insights for designing and implementing strategies to improve the smart city decision-making processes. The book drives the reader to a better theoretical and practical comprehension of smart city development, beginning with a thorough and systematic analysis of the research literature published to date. The book provides an in-depth understanding of the entire smart city knowledge domain, revealing a deeply rooted division in its cognitive-epistemological structure as identified by bibliometric insights. Untangling Smart Cities fills the knowledge gap between theory and practice using case study research, with empirical evidence drawn from cities considered leaders in innovative smart city practices. An invaluable contribution to the growing scientific literature, Untangling Smart Cities provides an accurate and deep understanding of the strategic principles driving smart city development. Provides clarity on the smart city concepts and strategies Provides a systematic literature analysis on the state-of-the-art of Smart Cities research using bibliometrics combined with practical application to guide smart systems implementation Offers a comprehensive and systematic analysis of Smart Cities research produced during its first three decades, driven by statistical analysis techniques Generates a strong connection between theory and practice by providing the scientific knowledge necessary to approach the complex nature of Smart Cities sourced from the analysis of actual best practices Documents five main development pathways for smart cities development, serving the needs of city managers and policy makers with concrete advice and guidance

At the turn of the century some cities and regions in Europe, Japan and the USA, displayed an exceptional capacity to incubate and develop new knowledge and innovations. The favourable environment for research, technology and innovation created in these areas was not immediately obvious, yet it was of great significance for a development based on knowledge, learning, and innovation. Intelligent Cities focuses on these environments of innovation, and the major models (technopoles, innovating regions, intelligent cities) for creating an environment-supporting technology, innovation, learning, and knowledge-based development. The introduction and the first chapter deal with innovation as an environmental condition, and with the geography and typology of islands of innovation. The next three parts focus on the theoretical paradigms and the planning models of the 'industrial district', the innovating region', and the 'intelligent city', which offer three alternative ways to create an environment of innovation.

Over the past two decades, we have witnessed unprecedented innovations in the development of miniaturized electromechanical devices and low-power wireless communication making practical the embedding of networked computational devices into a rapidly widening range of material entities. This trend has enabled the coupling of physical objects and digital information into cyber-physical systems and it is widely expected to revolutionize the way resource computational consumption and provision will occur. Specifically, one of the core ingredients of this vision, the so-called Internet of Things (IoT), demands the provision of networked services to support interaction between conventional IT systems with both physical and artificial objects. In this way, IoT is seen as a combination of several emerging technologies, which enables the transformation of everyday objects into smart objects. It is also perceived as a paradigm that connects real world with digital world. The focus of this book is exactly on the novel collective and computational intelligence technologies that will be required to achieve this goal. While, one of the aims of this book is to discuss the progress made, it also prompts future directions on the utilization of inter-operable and cooperative next generation computational technologies, which supports the IoT approach, that being an advanced functioning towards an integrated collective intelligence approach for the benefit of various organizational settings.

Increasingly the world around us is becoming ‘smart.’ From smart meters to smart production, from smart surfaces to smart grids, from smart phones to smart citizens. ‘Smart’ has become the catch-all term to indicate the advent of a charged technological shift that has been propelled by the promise of safer, more convenient and more efficient forms of living. Most architects, designers, planners and politicians seem to agree that the smart transition of cities and buildings is in full swing and inevitable. However, beyond comfort, safety and efficiency, how can ‘smart design and technologies’ assist to address current and future challenges of architecture and urbanism? Architecture and the Smart City provides an architectural perspective on the emergence of the smart city and offers a wide collection of resources for developing a better understanding of how smart architecture, smart cities and smart systems in the built environment are discussed, designed and materialized. It brings together a range of international thinkers and practitioners to discuss smart systems through four thematic sections: ‘Histories and Futures’, ‘Agency and Control’, ‘Materialities and Spaces’ and ‘Networks and Nodes’. Combined, these four thematic sections provide different perspectives into some of the most pressing issues with smart systems in the built environment. The book tackles questions related to the future of architecture and urbanism, lessons learned from global case studies and challenges related to interdisciplinary research, and critically examines what the future of buildings and cities will look like.

This book introduces the concept of smart city as the potential solution to the challenges created by urbanization. The Internet of Things (IoT) offers novel features with minimum human intervention in smart cities. This book describes different components of Internet of Things (IoT) for smart cities including sensor technologies, communication technologies, big data analytics and security.

This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities: Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.

The book collects the latest research and thinking from international experts on green computing and the smart city. The financial and environmental costs of energy are a concern in smart cities due to the high usage of computing, technology, security, IoT, communications, traffic, and other technologies. This book tackles this problem with a focus on computing, reporting on various approaches being taken worldwide, illustrated by several international case studies demonstrating these approaches. Researchers use this book as an up-to-date reference and engineers use it as a guide for the design and implementation of real solutions.