Big Data Is Not A Monolith

Author : Cassidy R. Sugimoto
Publisher : MIT Press
ISBN 13 : 0262529483
Total Pages : 308 pages
Book Rating : 4.88/5 ( download)

DOWNLOAD NOW!

Download or read book Big Data Is Not a Monolith written by Cassidy R. Sugimoto and published by MIT Press. This book was released on 2016-10-21 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Cassidy R. Sugimoto
Publisher : MIT Press
ISBN 13 : 0262335751
Total Pages : 312 pages
Book Rating : 4.51/5 ( download)

DOWNLOAD NOW!

Download or read book Big Data Is Not a Monolith written by Cassidy R. Sugimoto and published by MIT Press. This book was released on 2016-10-21 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Martin Ebers
Publisher : Cambridge University Press
ISBN 13 : 1108424821
Total Pages : 321 pages
Book Rating : 4.20/5 ( download)

DOWNLOAD NOW!

Download or read book Algorithms and Law written by Martin Ebers and published by Cambridge University Press. This book was released on 2020-07-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.

Author : Rudy Hirschheim
Publisher : Springer Nature
ISBN 13 : 3030458199
Total Pages : 476 pages
Book Rating : 4.95/5 ( download)

DOWNLOAD NOW!

Download or read book Information Systems Outsourcing written by Rudy Hirschheim and published by Springer Nature. This book was released on 2020-06-04 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Mark Burdon
Publisher : Cambridge University Press
ISBN 13 : 1108417922
Total Pages : 339 pages
Book Rating : 4.21/5 ( download)

DOWNLOAD NOW!

Download or read book Digital Data Collection and Information Privacy Law written by Mark Burdon and published by Cambridge University Press. This book was released on 2020-04-23 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Calling for future law reform, Burdon questions if you will have privacy in a world of ubiquitous data collection.

Author : Ronald Leenes
Publisher : Bloomsbury Publishing
ISBN 13 : 150991935X
Total Pages : 256 pages
Book Rating : 4.52/5 ( download)

DOWNLOAD NOW!

Download or read book Data Protection and Privacy written by Ronald Leenes and published by Bloomsbury Publishing. This book was released on 2017-12-28 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Ruth Edith Hagengruber
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111051803
Total Pages : 408 pages
Book Rating : 4.02/5 ( download)

DOWNLOAD NOW!

Download or read book Women Philosophers on Economics, Technology, Environment, and Gender History written by Ruth Edith Hagengruber and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-08-21 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: In times of current crisis, the voices of women are needed more than ever. The accumulation of war and environmental catastrophes teaches us that exploitation of people and nature through violent appropriation and enrichment for the sake of short-term self-interest exacts its price. This book presents contributions on the currently most relevant and most urgent issues: reshaping the economy, environmental problems, technology and the re-reading of history from the non-western and western tradition. With an outlook into the problems of class, race and gender in its intersectional framing, the collection offers a unique overview of current research in these fields and contributes to the renewal and contemporary presentation of feminist thought from partly concrete perspectives with regard to factual issues.

Author : Yusuf Aytas
Publisher : John Wiley & Sons
ISBN 13 : 1119690951
Total Pages : 336 pages
Book Rating : 4.55/5 ( download)

DOWNLOAD NOW!

Download or read book Designing Big Data Platforms written by Yusuf Aytas and published by John Wiley & Sons. This book was released on 2021-07-08 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems Highlights and explains how data is processed at scale Includes an introduction to the foundation of a modern data platform Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.

Author : Anthony Elliott
Publisher : Routledge
ISBN 13 : 0429582064
Total Pages : 431 pages
Book Rating : 4.66/5 ( download)

DOWNLOAD NOW!

Download or read book The Routledge Social Science Handbook of AI written by Anthony Elliott and published by Routledge. This book was released on 2021-07-12 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Kamperman Sanders, Anselm
Publisher : Edward Elgar Publishing
ISBN 13 : 1800378386
Total Pages : 232 pages
Book Rating : 4.84/5 ( download)

DOWNLOAD NOW!

Download or read book Intellectual Property as a Complex Adaptive System written by Kamperman Sanders, Anselm and published by Edward Elgar Publishing. This book was released on 2021-12-07 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.