Big Data Is Not A Monolith

Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data's ramifications. The contributors look at big data's effect on individuals as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, “data harm,” and decision making. Contributors Ryan Abbott, Cristina Alaimo, Kent R. Anderson, Mark Andrejevic, Diane E. Bailey, Mike Bailey, Mark Burdon, Fred H. Cate, Jorge L. Contreras, Simon DeDeo, Hamid R. Ekbia, Allison Goodwell, Jannis Kallinikos, Inna Kouper, M. Lynne Markus, Michael Mattioli, Paul Ohm, Scott Peppet, Beth Plale, Jason Portenoy, Julie Rennecker, Katie Shilton, Dan Sholler, Cassidy R. Sugimoto, Isuru Suriarachchi, Jevin D. West

The book proposes a systematic approach to big data collection, documentation and development of analytic procedures that foster collaboration on a large scale. This approach, designated as “data factoring” emphasizes the need to think of each individual dataset developed by an individual project as part of a broader data ecosystem, easily accessible and exploitable by parties not directly involved with data collection and documentation. Furthermore, data factoring uses and encourages pre-analytic operations that add value to big data sets, especially recombining and repurposing. The book proposes a research-development agenda that can undergird an ideal data factory approach. Several programmatic chapters discuss specialized issues involved in data factoring (documentation, meta-data specification, building flexible, yet comprehensive data ontologies, usability issues involved in collaborative tools, etc.). The book also presents case studies for data factoring and processing that can lead to building better scientific collaboration and data sharing strategies and tools. Finally, the book presents the teaching utility of data factoring and the ethical and privacy concerns related to it. Chapter 9 of this book is available open access under a CC BY 4.0 license at link.springer.com

Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.

This book highlights research that contributes to a better understanding of emerging challenges in information systems (IS) outsourcing. Important topics covered include: how to digitally innovate through IS outsourcing; how to govern outsourced digitalization projects; how to cope with complex multi-vendor and micro-services arrangements; how to manage data sourcing and data partnerships, including issues of cybersecurity; and how to cope with the increasing demands of internationalization and new sourcing models, such as crowdsourcing, cloud sourcing and robotic process automation. These issues are approached from the client’s perspective, vendor’s perspective, or both. Given its scope, the book will be of interest to all researchers and students in the fields of Information Systems, Management, and Organization, as well as corporate executives and professionals seeking a more profound analysis of the underlying factors and mechanisms of outsourcing.

Calling for future law reform, Burdon questions if you will have privacy in a world of ubiquitous data collection.

The subjects of Privacy and Data Protection are more relevant than ever with the European General Data Protection Regulation (GDPR) becoming enforceable in May 2018. This volume brings together papers that offer conceptual analyses, highlight issues, propose solutions, and discuss practices regarding privacy and data protection. It is one of the results of the tenth annual International Conference on Computers, Privacy and Data Protection, CPDP 2017, held in Brussels in January 2017. The book explores Directive 95/46/EU and the GDPR moving from a market framing to a 'treaty-base games frame', the GDPR requirements regarding machine learning, the need for transparency in automated decision-making systems to warrant against wrong decisions and protect privacy, the riskrevolution in EU data protection law, data security challenges of Industry 4.0, (new) types of data introduced in the GDPR, privacy design implications of conversational agents, and reasonable expectations of data protection in Intelligent Orthoses. This interdisciplinary book was written while the implications of the General Data Protection Regulation 2016/679 were beginning to become clear. It discusses open issues, and daring and prospective approaches. It will serve as an insightful resource for readers with an interest in computers, privacy and data protection.

Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability. Dauvergne finds that corporations and states often use AI in ways that are antithetical to sustainability. The competition to profit from AI is entrenching technocratic management, revving up resource extraction, and turbocharging consumption, as consumers buy new smart devices (and discard their old, less-smart ones). Smart technology is helping farmers grow crops more efficiently, but also empowering the agrifood industry. Moreover, states are weaponizing AI to control citizens, suppress dissent, and aim cyberattacks at rival states. Is there a way to harness the power of AI for environmental and social good? Dauvergne argues for precaution and humility as guiding principles in the deployment of AI.

Digital innovations influence every aspect of life in an increasingly digitalized world. Firms pursuing digital innovations must consider how digital technologies shape the nature, process and outcomes of innovation as well as long- and short-term social, economic and cultural consequences of their offerings. This Handbook contributes to a transdisciplinary understanding of digital innovation with a diverse set of leading scholars and their distinct perspectives. The ideas and principles advanced herein set the agenda for future transdisciplinary research on digital innovation in ways that inform not only firm-level strategies and practices but also policy decisions and science-focused investments.

Many of the things we now live with do not take a purely physical form. Objects such as smart phones, laptops and wearable fitness trackers are different from our things of the past. These new digital forms are networked, dynamic and contextually configured. They can be changeable and unpredictable, even inscrutable when it comes to understanding what they actually do and whom they really serve. In this compelling new volume, Johan Redstrom and Heather Wiltse address critical questions that have assumed a fresh urgency in the context of these rapidly-developing forms. Drawing on critical traditions from a range of disciplines that have been used to understand the nature of things, they develop a new vocabulary and a theoretical approach that allows us to account for and address the multi-faceted, dynamic, constantly evolving forms and functions of contemporary things. In doing so, the book prototypes a new design discourse around everyday things, and describes them as fluid assemblages. Redstrom and Wiltse explore how a new theoretical framework could enable a richer understanding of things as fluid and networked, with a case study of the evolution of music players culminating in an in-depth discussion of Spotify. Other contemporary 'things' touched on in their analysis include smart phones and watches, as well as digital platforms and applications such as Google, Facebook and Twitter.

Offers insights into what it means to trade in knowledge in today's technological and commercial environment.

Smart City Citizenship provides rigorous analysis for academics and policymakers on the experimental, data-driven, and participatory processes of smart cities to help integrate ICT-related social innovation into urban life. Unlike other smart city books that are often edited collections, this book focuses on the business domain, grassroots social innovation, and AI-driven algorithmic and techno-political disruptions, also examining the role of citizens and the democratic governance issues raised from an interdisciplinary perspective. As smart city research is a fast-growing topic of scientific inquiry and evolving rapidly, this book is an ideal reference for a much-needed discussion. The book drives the reader to a better conceptual and applied comprehension of smart city citizenship for democratised hyper-connected-virialised post-COVID-19 societies. In addition, it provides a whole practical roadmap to build smart city citizenship inclusive and multistakeholder interventions through intertwined chapters of the book. Users will find a book that fills the knowledge gap between the purely critical studies on smart cities and those further constructive and highly promising socially innovative interventions using case study fieldwork action research empirical evidence drawn from several cities that are advancing and innovating smart city practices from the citizenship perspective. Utilises ongoing, action research fieldwork, comparative case studies for examining current governance issues, and the role of citizens in smart cities Provides definitions of new key citizenship concepts, along with a techno-political framework and toolkit drawn from a community-oriented perspective Shows how to design smart city governance initiatives, projects and policies based on applied research from the social innovation perspective Highlights citizen’s perspective and social empowerment in the AI-driven and algorithmic disruptive post-COVID-19 context in both transitional and experimental frameworks

The field of Information Systems has been evolving since the first application of computers in organizations in the early 1950s. Focusing on information systems analysis and design up to and including the 1980s, the field has expanded enormously, with our assumptions about information and knowledge being challenged, along with both intended and unintended consequences of information technology. This prestige reference work offers students and researchers a critical reflection on major topics and current scholarship in the evolving field of Information Systems. This single-volume survey of the field is organized into four parts. The first section deals with Disciplinary and Methodological Foundations. The second section deals with Development, Adoption and Use of MIS – topics that formed the centrepiece of the field of IS in the last century. The third section deals with Managing Organizational IS, Knowledge and Innovation, while the final section considers emerging and continuing issues and controversies in the field – IS in Society and a Global Context. Each chapter provides a balanced overview of current knowledge, identifying issues and discussing relevant debates. This prestigious book is required reading for any student or researcher in Management Information Systems, academics and students covering the breadth of the field, and established researchers seeking a single-volume repository on the current state of knowledge, current debates and relevant literature.

This cutting-edge new textbook examines how effective knowledge management can make organizations more innovative. Blending an extensive body of international research and analysis with examples of practical implementation, it demonstrates how organizational structures and strategies combined with digital technologies can better foster innovation. Critically rigorous and full of engaging pedagogy, this accessible textbook will enable readers to understand the complexity of innovation processes and the opportunities and challenges that face managers as they exploit new technologies to produce value. Contemporary case studies based on the authors' original research and focused on international organizations from a range of industries demonstrate the applicability of key theories and concepts to real-world practical opportunities. This is an essential textbook for upper undergraduate, postgraduate and MBA students studying knowledge management and innovation. It is also suitable for any student of organisation studies wanting to understand more about the role that the digital has to play in fostering innovation and managing knowledge.

The Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution – from supercomputers and social media to advanced automation and robotics – is transforming society, culture, politics and economy. The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution. The Handbook is exceptionally wide-ranging in span, covering topics all the way from AI technologies in everyday life to single-purpose robots throughout home and work life, and from the mainstreaming of human-machine interfaces to the latest advances in AI, such as the ability to mimic (and improve on) many aspects of human brain function. A unique integration of social science on the one hand and new technologies of artificial intelligence on the other, this Handbook offers readers new ways of understanding the rise of AI and its associated global transformations. Written in a clear and direct style, the Handbook will appeal to a wide undergraduate audience.

This incisive book examines the role of Intellectual Property (IP) as a complex adaptive system in innovation and the lifecycle of IP intensive assets. Discussing recent innovation trends, it places emphasis on how different forms of intellectual property law can facilitate these trends. Inventors and entrepreneurs are guided through the lifecycle of IP intensive assets that commercialise human creativity. Utilising a range of sector specific, interdisciplinary and actor-focused approaches, each contribution offers suggestions on how Europe’s capacity to foster innovation-based sustainable economic growth can be enhanced on a global scale.