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Explores best practices in the governance of data and technology in a variety of cities and public spaces.
Explores the complex relationships between privacy, governance, and the production and sharing of knowledge. This title is also available as Open Access on Cambridge Core.
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.
"Knowledge commons" describes the institutionalized community governance of the sharing and, in some cases, creation, of information, science, knowledge, data, and other types of intellectual and cultural resources. It is the subject of enormous recent interest and enthusiasm with respect to policymaking about innovation, creative production, and intellectual property. Taking that enthusiasm as its starting point, Governing Knowledge Commons argues that policymaking should be based on evidence and a deeper understanding of what makes commons institutions work. It offers a systematic way to study knowledge commons, borrowing and building on Elinor Ostrom's Nobel Prize-winning research on natural resource commons. It proposes a framework for studying knowledge commons that is adapted to the unique attributes of knowledge and information, describing the framework in detail and explaining how to put it into context both with respect to commons research and with respect to innovation and information policy. Eleven detailed case studies apply and discuss the framework exploring knowledge commons across a wide variety of scientific and cultural domains.
Global Trends of Smart Cities provides integrated analysis of 135 cities that participated in the IBM's Smarter Cities Challenge in 2010–2017. It establishes evidence-based benchmarking of city geographies, city sizes, governance structures, and local planning contexts in smart cities. This book uses a combination of descriptive statistical analysis and real-world case study narratives to evaluate the ways in which each individual urban variable or their combination matter in the diversity of smart city approaches around the globe. It is acknowledged that the Smarter Cities Challenge offers a particular set of smart initiatives and is not representative of all smart cities around the world. Nevertheless, the global presence of the Challenge across five continents and its involvement with 135 cities of all size and socioeconomic status provides a solid foundation to conduct comparative research on smart cities. Considering limited comparative research available in the smart city debate, this book makes significant contribution in understanding the state of smart city development in urban governments worldwide. - Offers an integrated assessment of smart cities using a combination of statistical analysis and real-world case study narrations - Compares smart city interventions from the 135 cities that participated in the Smarter Cities Challenge with detailed case study narrations included for 17 cities - Demonstrates the ways in which geography, size, governance, and local planning context—each individually and in combination with each other—influence smart city development around the globe - Develops an urban research perspective to the smart city discourse otherwise dominated by digital and IT specialists, engineers, and business experts - Identifies the North–South divide as the most influential factor explaining how smart urbanism is framed worldwide and argues that the future of smart city development depends on how "smart" approaches the ongoing and increasing level of inequity and inequality not only within our cities but also at the transregional and transnational levels
This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."
Looking at knowledge as a shared resource: experts discuss how to define, protect, and build the knowledge commons in the digital age. Knowledge in digital form offers unprecedented access to information through the Internet but at the same time is subject to ever-greater restrictions through intellectual property legislation, overpatenting, licensing, overpricing, and lack of preservation. Looking at knowledge as a commons—as a shared resource—allows us to understand both its limitless possibilities and what threatens it. In Understanding Knowledge as a Commons, experts from a range of disciplines discuss the knowledge commons in the digital era—how to conceptualize it, protect it, and build it. Contributors consider the concept of the commons historically and offer an analytical framework for understanding knowledge as a shared social-ecological system. They look at ways to guard against enclosure of the knowledge commons, considering, among other topics, the role of research libraries, the advantages of making scholarly material available outside the academy, and the problem of disappearing Web pages. They discuss the role of intellectual property in a new knowledge commons, the open access movement (including possible funding models for scholarly publications), the development of associational commons, the application of a free/open source framework to scientific knowledge, and the effect on scholarly communication of collaborative communities within academia, and offer a case study of EconPort, an open access, open source digital library for students and researchers in microeconomics. The essays clarify critical issues that arise within these new types of commons—and offer guideposts for future theory and practice. Contributors David Bollier, James Boyle, James C. Cox, Shubha Ghosh, Charlotte Hess, Nancy Kranich, Peter Levine, Wendy Pradt Lougee, Elinor Ostrom, Charles Schweik, Peter Suber, J. Todd Swarthout, Donald Waters
Transforming cities through digital innovations is becoming an imperative for every city. However, city ecosystems widely struggle to start, manage and execute the transformation. This book aims to give a comprehensive overview of all facets of the Smart City transformation and provides concrete tools, checklists, and guiding frameworks.
The digital economy is a driver of change, innovation, and competitiveness for international businesses and organizations. Because of this, it is important to highlight emergent and innovative aspects of marketing strategies and entrepreneurial approaches to overcome the challenges of the digital world. The Handbook of Research on Entrepreneurship and Marketing for Global Reach in the Digital Economy provides innovative insights into the key developments and new trends associated with online challenges and opportunities. The content within this publication represents research encompassing corporate social responsibility, economic policy, and female entrepreneurship, and it is a vital reference source for policymakers, managers, entrepreneurs, graduate-level business students, researchers, and academicians seeking coverage on topics centered on conceptual, technological, and design issues related to digital developments in the economy.
Smart Cities for Technological and Social Innovation establishes a key theoretical framework to understand the implementation and development of smart cities as innovation drivers, in terms of lasting impacts on productivity, livability and sustainability of specific initiatives. This framework is based on empirical analysis of 12 case studies, including pioneer projects from Europe, Asia, the Middle East, and more. It explores how successful smart cities initiatives nurture both technological and social innovation using a combination of regulatory governance and private agency. Typologies of smart city-making approaches are explored in depth. Integrative analysis identifies key success factors in establishing innovation relating to the effectiveness of social systems, institutional thickness, governance, the role of human capital, and streamlining funding of urban development projects. - Cases from a range of geographies, scales, social and economic contexts - Explores how smart cities can promote technological and social innovation in terms of direct impacts on livability, productivity and sustainability - Establishes an integrative framework based on empirical evidence to develop more innovative smart city initiatives - Investigates the role of governments in coordinating, fostering and guiding innovations resulting from smart city developments - Interrogates the policies and governance structures which have been effective in supporting the development and deployment of smart cities