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Recent advances in ICT have given rise to new socially disruptive
technologies: AmI and the IoT, marking a major technological change
which may lead to a drastic transformation of the technological
ecosystem in all its complexity, as well as to a major alteration
in technology use and thus daily living. Yet no work has
systematically explored AmI and the IoT as advances in science and
technology (S&T) and sociotechnical visions in light of their
nature, underpinning, and practices along with their implications
for individual and social wellbeing and for environmental health.
AmI and the IoT raise new sets of questions: In what way can we
conceptualize such technologies? How can we evaluate their benefits
and risks? How should science-based technology and society's
politics relate? Are science-based technology and society
converging in new ways? It is with such questions that this book is
concerned. Positioned within the research field of Science and
Technology Studies (STS), which encourages analyses whose
approaches are drawn from a variety of disciplinary perspectives,
this book amalgamates an investigation of AmI and the IoT
technologies based on a unique approach to cross-disciplinary
integration; their ethical, social, cultural, political, and
environmental effects; and a philosophical analysis and evaluation
of the implications of such effects. An interdisciplinary approach
is indeed necessary to understand the complex issue of scientific
and technological innovations that S&T are not the only driving
forces of the modern, high-tech society, as well as to respond
holistically, knowledgeably, reflectively, and critically to the
most pressing issues and significant challenges of the modern
world. This book is the first systematic study on how AmI and the
IoT applications of scientific discovery link up with other
developments in the spheres of the European society, including
culture, politics, policy, ethics and ecological philosophy. It
situates AmI and the IoT developments and innovations as modernist
science-based technology enterprises in a volatile and tense
relationship with an inherently contingent, heterogeneous,
fractured, conflictual, plural, and reflexive postmodern social
world. The issue's topicality results in a book of interest to a
wide readership in science, industry, politics, and policymaking,
as well as of recommendation to anyone interested in learning the
sociology, philosophy, and history of AmI and the IoT technologies,
or to those who would like to better understand some of the
ethical, environmental, social, cultural, and political dilemmas to
what has been labeled the technologies of the 21st century.
As a socially disruptive technology, Ambient Intelligence is
ultimately directed towards humans and targeted at the mundane life
made of an infinite richness of circumstances that cannot fully be
considered and easily be anticipated. Most books, however, focus
their analysis on, or deal largely with, the advancement of the
technology and its potential only. This book offers a fresh,
up-to-date, and holistic approach to Ambient Intelligence. As such,
it addresses the interdisciplinary and transdisciplinary aspects of
the rapidly evolving field of Ambient Intelligence by seamlessly
integrating and fusing it with artificial intelligence, cognitive
science and psychology, social sciences, and humanities. It is
divided into two main parts: Part 1 is about different permutations
of enabling technologies as well as core computational
capabilities, namely context awareness, implicit and natural
interaction, and intelligent behavior. It details the existing and
upcoming prerequisite technologies, and elucidates the application
and convergence of major current and future computing trends. Part
2 is an accessible review and synthesis of the latest research in
the human-directed sciences and computing and how these are
intricately interrelated in the realm of Ambient Intelligence. It
deals with the state-of-the-art human-inspired applications which
show human-like understanding and exhibit intelligent behavior in
relation to a variety of aspects of human functioning - states and
processes. It describes and elaborates on the rich potential of
Ambient Intelligence from a variety of interrelated perspectives
and the plethora of challenges and bottlenecks involved in making
Ambient Intelligence a reality, and also discusses the established
knowledge and recent discoveries in the human-directed sciences and
their application and convergence in the ambit of Ambient
Intelligence computing. This seminal reference work is the most
comprehensive of its kind, and will prove invaluable to students,
researchers, and professionals across both computing and the
human-directed sciences.
This book gathers current research studies which explore new
technologies in architecture and urban practices which ensure the
efficient management of cities’ infrastructures and provide new
solutions to the complex complications that may result in the
tackling of challenges of population density, traffic planning, and
city planning at the neighborhood scale or rather the scale of
buildings and everyday life. It offers a path towards city
resilience and sustainable infrastructure with the aim of meeting
the demands of mega-cities. The primary audience of this book will
be academics and professionals from the fields of architecture,
urban planning, civil engineering, computer sciences, and
mathematics. The book will aid them in their contributions to the
implementation of sustainable development goals.
This book explores the recent advances in the leading paradigms of
urbanism, namely compact cities, eco-cities, and data-driven smart
cities, and the evolving approach to their amalgamation under the
umbrella term of smart sustainable cities. It addresses these
advances by investigating how and to what extent the strategies of
compact cities and eco-cities and their merger have been enhanced
and strengthened through new planning and development practices,
and are being supported and leveraged by the applied solutions
pertaining to data-driven smart cities. The ultimate goal is to
advance sustainability and harness its synergistic effects on
multiple scales. This entails developing and implementing more
effective approaches to the balanced integration of the three
dimensions of sustainability, as well as to producing combined
effects of the strategies and solutions of the prevailing
approaches to urbanism that are greater than the sum of their
separate effects in terms of the tripartite value of
sustainability. Sustainable urban development is today seen as one
of the keys towards unlocking the quest for a sustainable world.
And the big data revolution is set to erupt in cities throughout
the world, heralding an era where instrumentation, datafication,
and computation are increasingly pervading the very fabric of
cities and the spaces we live in thanks to the IoT. Big data and
the IoT technologies are seen as powerful forces that have
tremendous potential for advancing urban sustainability. Indeed,
they are instigating a massive change in the way sustainable cities
can tackle the kind of special conundrums, wicked problems, and
significant challenges they inherently embody as complex systems.
They offer a multitudinous array of innovative solutions and
sophisticated approaches informed by groundbreaking research and
data-driven science. As such, they are becoming essential to the
functioning of sustainable cities. Besides, yet knowing to what
extent we are making progress towards sustainable cities is
problematic, adding to the fragmented, conflicting picture that
arises of change on the ground in the face of the escalating rate
and scale of urbanization and in the light of emerging ICT and its
novel applications. In a nutshell, new circumstances require new
responses. This timely and multifaceted book is intended for a wide
readership. As such, it will appeal to researchers, academics,
urban scientists, urbanists, planners, designers, policy-makers,
and futurists, as well as all readers interested in sustainable
cities and their ongoing and future data-driven transformation.
We are living at the dawn of what has been termed 'the fourth
paradigm of science,' a scientific revolution that is marked by
both the emergence of big data science and analytics, and by the
increasing adoption of the underlying technologies in scientific
and scholarly research practices. Everything about science
development or knowledge production is fundamentally changing
thanks to the ever-increasing deluge of data. This is the primary
fuel of the new age, which powerful computational processes or
analytics algorithms are using to generate valuable knowledge for
enhanced decision-making, and deep insights pertaining to a wide
variety of practical uses and applications. This book addresses the
complex interplay of the scientific, technological, and social
dimensions of the city, and what it entails in terms of the
systemic implications for smart sustainable urbanism. In concrete
terms, it explores the interdisciplinary and transdisciplinary
field of smart sustainable urbanism and the unprecedented
paradigmatic shifts and practical advances it is undergoing in
light of big data science and analytics. This new era of science
and technology embodies an unprecedentedly transformative and
constitutive power-manifested not only in the form of
revolutionizing science and transforming knowledge, but also in
advancing social practices, producing new discourses, catalyzing
major shifts, and fostering societal transitions. Of particular
relevance, it is instigating a massive change in the way both smart
cities and sustainable cities are studied and understood, and in
how they are planned, designed, operated, managed, and governed in
the face of urbanization. This relates to what has been dubbed
data-driven smart sustainable urbanism, an emerging approach based
on a computational understanding of city systems and processes that
reduces urban life to logical and algorithmic rules and procedures,
while also harnessing urban big data to provide a more holistic and
integrated view or synoptic intelligence of the city. This is
increasingly being directed towards improving, advancing, and
maintaining the contribution of both sustainable cities and smart
cities to the goals of sustainable development. This timely and
multifaceted book is aimed at a broad readership. As such, it will
appeal to urban scientists, data scientists, urbanists, planners,
engineers, designers, policymakers, philosophers of science, and
futurists, as well as all readers interested in an overview of the
pivotal role of big data science and analytics in advancing every
academic discipline and social practice concerned with
data-intensive science and its application, particularly in
relation to sustainability.
We are living at the dawn of what has been termed 'the fourth
paradigm of science,' a scientific revolution that is marked by
both the emergence of big data science and analytics, and by the
increasing adoption of the underlying technologies in scientific
and scholarly research practices. Everything about science
development or knowledge production is fundamentally changing
thanks to the ever-increasing deluge of data. This is the primary
fuel of the new age, which powerful computational processes or
analytics algorithms are using to generate valuable knowledge for
enhanced decision-making, and deep insights pertaining to a wide
variety of practical uses and applications. This book addresses the
complex interplay of the scientific, technological, and social
dimensions of the city, and what it entails in terms of the
systemic implications for smart sustainable urbanism. In concrete
terms, it explores the interdisciplinary and transdisciplinary
field of smart sustainable urbanism and the unprecedented
paradigmatic shifts and practical advances it is undergoing in
light of big data science and analytics. This new era of science
and technology embodies an unprecedentedly transformative and
constitutive power-manifested not only in the form of
revolutionizing science and transforming knowledge, but also in
advancing social practices, producing new discourses, catalyzing
major shifts, and fostering societal transitions. Of particular
relevance, it is instigating a massive change in the way both smart
cities and sustainable cities are studied and understood, and in
how they are planned, designed, operated, managed, and governed in
the face of urbanization. This relates to what has been dubbed
data-driven smart sustainable urbanism, an emerging approach based
on a computational understanding of city systems and processes that
reduces urban life to logical and algorithmic rules and procedures,
while also harnessing urban big data to provide a more holistic and
integrated view or synoptic intelligence of the city. This is
increasingly being directed towards improving, advancing, and
maintaining the contribution of both sustainable cities and smart
cities to the goals of sustainable development. This timely and
multifaceted book is aimed at a broad readership. As such, it will
appeal to urban scientists, data scientists, urbanists, planners,
engineers, designers, policymakers, philosophers of science, and
futurists, as well as all readers interested in an overview of the
pivotal role of big data science and analytics in advancing every
academic discipline and social practice concerned with
data-intensive science and its application, particularly in
relation to sustainability.
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