In the very near future, "smart" technologies and "big data" will allow us to make large-scale and sophisticated interventions in politics, culture, and everyday life. Technology will allow us to solve problems in highly original ways and create new incentives to get more people to do the right thing. But how will such "solutionism" affect our society, once deeply political, moral, and irresolvable dilemmas are recast as uncontroversial and easily manageable matters of technological efficiency? What if some such problems are simply vices in disguise? What if some friction in communication is productive and some hypocrisy in politics necessary? The temptation of the digital age is to fix everything--from crime to corruption to pollution to obesity--by digitally quantifying, tracking, or gamifying behavior. But when we change the motivations for our moral, ethical, and civic behavior we may also change the very nature of that behavior. Technology, Evgeny Morozov proposes, can be a force for improvement--but only if we keep solutionism in check and learn to appreciate the imperfections of liberal democracy. Some of those imperfections are not accidental but by design.
Arguing that we badly need a new, post-Internet way to debate the moral consequences of digital technologies, "To Save Everything, Click Here" warns against a world of seamless efficiency, where everyone is forced to wear Silicon Valley's digital straitjacket.

ICT Sustainability is about how to assess, and reduce, the carbon footprint and materials used with computers and telecommunications. These are the notes for an award winning on-line graduate course on strategies for reducing the environmental impact of computers and how to use the Internet to make business more energy efficient. These notes have been used for courses by the Australian Computer Society, Australian National University and Athabasca University (Canada). The book includes an extensive bibliography. Free open access course-ware is available on-line to accompany this text.

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies. Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal resource. This book addresses system immunity, regulation, infection, aging, evolution, and carcinogenesis, which are complicated biological systems with inconsistent findings in existing resources. These inconsistencies may reflect the underlying biology time-varying systems and signal transduction events that are often context-dependent, which raises a significant problem for mechanistic modeling since it is not clear which genes/proteins to include in models or experimental measurements. The book is a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in an in-depth understanding on how to process and apply great amounts of biological data to improve research.

The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.

Discussions around the preservation of privacy and confidential data of patients parallels discussions about innovation, effectiveness, and quality of care that the use of technology can provide in health services. The use of technology in the management of health services and in the provision of care in hospital establishments can pose ethical issues. An effective solution needs to be concocted before the use of this technology disturbs the privacy practices of today's healthcare systems. Emerging Trends and Innovations in Privacy and Health Information Management is a collection of innovative research on the methods and applications of the preservation of privacy and confidential data of patients. While highlighting topics including privacy laws, ethical issues, and healthcare security, this book is ideally designed for professionals and researchers working in the fields of health, social intervention, and information management.

With the growth and advancement of business and industry, there is a growing need for the advancement of the strategies that manage these modernizations. Adaptation to advancement is essential for the success of these organizations and using the proper methods to accomplish this essential adaptation is paramount. Organizational Transformation and Managing Innovation in the Fourth Industrial Revolution provides innovative insights into the management of advancements and the implementation of strategies to accommodate these changes. The content within this publication examines social engagement, cyber-journalism, and educational innovation. It is designed for managers, consultants, academicians, researchers, and professionals, and covers topics centered on the growth of businesses and how they change alongside the economy and infrastructure.

Human factors are the scientific discipline concerned with the understanding of interactions among humans and other elements of a system, and the profession that applies theory, principles, data, and other methods to design to optimize human well-being and overall system performance. Human factor issues and the impact of technology on society is a topic that is only growing, and it is essential that it is considered as technology becomes more present in our daily lives. This not only impacts society now but is something to be considered for the future. It is also incredibly important for those in the human factors profession to consider the impact of technology for their work and for the users they are helping design for. Therefore, this topic has immense impact and is important to study from a research perspective to advance the understanding of how technology works, how we work, and how we as humans work within the context of the technology we use. Human Factors Issues and the Impact of Technology on Society examines the role of technology on society with a specific focus on human factors issues and how they are associated with and related to technology use in society. A few highlighted topics within this book are digital health technologies, learning technologies, ethics in social technology, ICT use in businesses, and sustainability. These topics are only a few of examples of how this book analyzes technology in all different facets of society, making it ideal for a wide audience including human factors practitioners, technologists, sociologists, policy makers, teachers, technology developers and designers, business professionals, ethicists, researchers, academicians, students, and anyone else seeking more information on how technology is impacting society through the viewpoint of human factors.

Due to its versatility and accessibility, individuals all around the world routinely use various forms of technology to interact with one another. Over the years, the design and development of technologies and interfaces have increasingly aimed to improve the human-computer interactive experience in unimaginable ways. The Handbook of Research on Human-Computer Interfaces and New Modes of Interactivity is a collection of innovative research on the methods and applications of interactive technologies in the modern age. Highlighting topics including digital environments, sensory applications, and transmedia applications, this book is ideally designed for academicians, researchers, HCI developers, programmers, IT consultants, and media specialists seeking current research on the design, application, and advancement of different media technologies and interfaces that can support interaction across a wide range of users.

This book is a celebration of Leslie Lamport's work on concurrency, interwoven in four-and-a-half decades of an evolving industry: from the introduction of the first personal computer to an era when parallel and distributed multiprocessors are abundant. His works lay formal foundations for concurrent computations executed by interconnected computers. Some of the algorithms have become standard engineering practice for fault tolerant distributed computing - distributed systems that continue to function correctly despite failures of individual components. He also developed a substantial body of work on the formal specification and verification of concurrent systems, and has contributed to the development of automated tools applying these methods. Part I consists of technical chapters of the book and a biography. The technical chapters of this book present a retrospective on Lamport's original ideas from experts in the field. Through this lens, it portrays their long-lasting impact. The chapters cover timeless notions Lamport introduced: the Bakery algorithm, atomic shared registers and sequential consistency; causality and logical time; Byzantine Agreement; state machine replication and Paxos; temporal logic of actions (TLA). The professional biography tells of Lamport's career, providing the context in which his work arose and broke new grounds, and discusses LaTeX - perhaps Lamport's most influential contribution outside the field of concurrency. This chapter gives a voice to the people behind the achievements, notably Lamport himself, and additionally the colleagues around him, who inspired, collaborated, and helped him drive worldwide impact. Part II consists of a selection of Leslie Lamport's most influential papers. This book touches on a lifetime of contributions by Leslie Lamport to the field of concurrency and on the extensive influence he had on people working in the field. It will be of value to historians of science, and to researchers and students who work in the area of concurrency and who are interested to read about the work of one of the most influential researchers in this field.

Advances in Computers carries on a tradition of excellence, presenting detailed coverage of innovations in computer hardware, software, theory, design, and applications. The book provides contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles typically allow. The articles included in this book will become standard references, with lasting value in this rapidly expanding field.

While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.