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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