Big Data And Ethics

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Ethics of Big Data

Ethics of Big Data
  • Author : Kord Davis
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2012-09-13
  • Total pages : 82
  • ISBN : 9781449357498
  • File Size : 34,9 Mb
  • Total Download : 660

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What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices. Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue—as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you’ll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders. Review your data-handling practices and examine whether they reflect core organizational values Express coherent and consistent positions on your organization’s use of big data Define tactical plans to close gaps between values and practices—and discover how to maintain alignment as conditions change over time Maintain a balance between the benefits of innovation and the risks of unintended consequences

The Big Data Agenda

The Big Data Agenda
  • Author : Annika Richterich
  • Publisher : University of Westminster Press
  • Release Date : 2018-04-13
  • Total pages : 154
  • ISBN : 9781911534730
  • File Size : 42,7 Mb
  • Total Download : 829

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This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.

The Ethics of Biomedical Big Data

The Ethics of Biomedical Big Data
  • Author : Brent Daniel Mittelstadt,Luciano Floridi
  • Publisher : Springer
  • Release Date : 2016-08-03
  • Total pages : 480
  • ISBN : 9783319335254
  • File Size : 27,5 Mb
  • Total Download : 607

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This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.

Data Ethics of Power

Data Ethics of Power
  • Author : Hasselbalch, Gry
  • Publisher : Edward Elgar Publishing
  • Release Date : 2021-12-09
  • Total pages : 208
  • ISBN : 9781802203110
  • File Size : 47,8 Mb
  • Total Download : 866

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Data Ethics of Power takes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world.

Big Data Challenges

Big Data Challenges
  • Author : Anno Bunnik,Anthony Cawley,Michael Mulqueen,Andrej Zwitter
  • Publisher : Springer
  • Release Date : 2016-05-13
  • Total pages : 140
  • ISBN : 9781349948857
  • File Size : 45,9 Mb
  • Total Download : 433

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This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.

Ethics of Data and Analytics

Ethics of Data and Analytics
  • Author : Kirsten Martin
  • Publisher : CRC Press
  • Release Date : 2022-05-13
  • Total pages : 492
  • ISBN : 9781000566260
  • File Size : 39,5 Mb
  • Total Download : 491

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The ethics of data and analytics, in many ways, is no different than any endeavor to find the "right" answer. When a business chooses a supplier, funds a new product, or hires an employee, managers are making decisions with moral implications. The decisions in business, like all decisions, have a moral component in that people can benefit or be harmed, rules are followed or broken, people are treated fairly or not, and rights are enabled or diminished. However, data analytics introduces wrinkles or moral hurdles in how to think about ethics. Questions of accountability, privacy, surveillance, bias, and power stretch standard tools to examine whether a decision is good, ethical, or just. Dealing with these questions requires different frameworks to understand what is wrong and what could be better. Ethics of Data and Analytics: Concepts and Cases does not search for a new, different answer or to ban all technology in favor of human decision-making. The text takes a more skeptical, ironic approach to current answers and concepts while identifying and having solidarity with others. Applying this to the endeavor to understand the ethics of data and analytics, the text emphasizes finding multiple ethical approaches as ways to engage with current problems to find better solutions rather than prioritizing one set of concepts or theories. The book works through cases to understand those marginalized by data analytics programs as well as those empowered by them. Three themes run throughout the book. First, data analytics programs are value-laden in that technologies create moral consequences, reinforce or undercut ethical principles, and enable or diminish rights and dignity. This places an additional focus on the role of developers in their incorporation of values in the design of data analytics programs. Second, design is critical. In the majority of the cases examined, the purpose is to improve the design and development of data analytics programs. Third, data analytics, artificial intelligence, and machine learning are about power. The discussion of power—who has it, who gets to keep it, and who is marginalized—weaves throughout the chapters, theories, and cases. In discussing ethical frameworks, the text focuses on critical theories that question power structures and default assumptions and seek to emancipate the marginalized.

Ethical Reasoning in Big Data

Ethical Reasoning in Big Data
  • Author : Jeff Collmann,Sorin Adam Matei
  • Publisher : Springer
  • Release Date : 2016-04-22
  • Total pages : 192
  • ISBN : 9783319284224
  • File Size : 26,5 Mb
  • Total Download : 528

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This book springs from a multidisciplinary, multi-organizational, and multi-sector conversation about the privacy and ethical implications of research in human affairs using big data. The need to cultivate and enlist the public’s trust in the abilities of particular scientists and scientific institutions constitutes one of this book’s major themes. The advent of the Internet, the mass digitization of research information, and social media brought about, among many other things, the ability to harvest – sometimes implicitly – a wealth of human genomic, biological, behavioral, economic, political, and social data for the purposes of scientific research as well as commerce, government affairs, and social interaction. What type of ethical dilemmas did such changes generate? How should scientists collect, manipulate, and disseminate this information? The effects of this revolution and its ethical implications are wide-ranging. This book includes the opinions of myriad investigators, practitioners, and stakeholders in big data on human beings who also routinely reflect on the privacy and ethical issues of this phenomenon. Dedicated to the practice of ethical reasoning and reflection in action, the book offers a range of observations, lessons learned, reasoning tools, and suggestions for institutional practice to promote responsible big data research on human affairs. It caters to a broad audience of educators, researchers, and practitioners. Educators can use the volume in courses related to big data handling and processing. Researchers can use it for designing new methods of collecting, processing, and disseminating big data, whether in raw form or as analysis results. Lastly, practitioners can use it to steer future tools or procedures for handling big data. As this topic represents an area of great interest that still remains largely undeveloped, this book is sure to attract significant interest by filling an obvious gap in currently available literature.

Ethical Issues in Covert, Security and Surveillance Research

Ethical Issues in Covert, Security and Surveillance Research
  • Author : Ron Iphofen,Dónal O’Mathúna
  • Publisher : Emerald Group Publishing
  • Release Date : 2021-12-09
  • Total pages : 240
  • ISBN : 9781802624137
  • File Size : 30,8 Mb
  • Total Download : 514

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The ebook edition of this title is Open Access and freely available to read online. Ethical Issues in Covert, Security and Surveillance Research showcases that it is only when the integrity of research is carefully pursued can users of the evidence produced be assured of its value and its ethical credentials.

Ethics of Big Data

Ethics of Big Data
  • Author : Kord Davis,Doug Patterson
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2012
  • Total pages : 80
  • ISBN : 9781449311797
  • File Size : 20,8 Mb
  • Total Download : 379

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This book contains a framework for productive discussion and thinking about ethics and Big Data in business environments. With the increasing size and scope of information that Big Data technologies can provide business, maintaining an ethical practice benefits from a common framework of understanding and vocabulary for discussing questions about coherent and consistent practices. A framework provides you with a set of conceptual terms and tools that help decision-markers to engage difficult questions the expanding role Big Data plays in an increasing variety of products and services. The approach is to develop a set of terms and concepts, consider ethical principles useful in meaningful business discussions, and then explore and compare several overall views on data handling to help inform the development of an ethics-based data strategy. The focus is to enhance effective decision-making in business rather than legislate what ought to be done with data. In this book, you will learn methods and techniques to facilitate rigorous, productive internal discussion, and express coherent and consistent positions on your organization's perspective on the use of Big Data in commerce.

Data Ethics

Data Ethics
  • Author : Gry Hasselbalch
  • Publisher : Unknown
  • Release Date : 2016
  • Total pages : 202
  • ISBN : 877192017X
  • File Size : 29,8 Mb
  • Total Download : 377

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PDF book entitled Data Ethics written by Gry Hasselbalch and published by Unknown which was released on 2016 with total hardcover pages 202, the book become popular and critical acclaim.

Ethics and Data Science

Ethics and Data Science
  • Author : Mike Loukides,Hilary Mason,DJ Patil
  • Publisher : O'Reilly Media
  • Release Date : 2018-07-25
  • Total pages : 40
  • ISBN : 9781492078227
  • File Size : 28,6 Mb
  • Total Download : 842

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As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.

Big Data, Health Law, and Bioethics

Big Data, Health Law, and Bioethics
  • Author : I. Glenn Cohen,Holly Fernandez Lynch,Effy Vayena,Urs Gasser
  • Publisher : Cambridge University Press
  • Release Date : 2018-02-28
  • Total pages : 229
  • ISBN : 9781108151962
  • File Size : 41,5 Mb
  • Total Download : 444

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When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.

Data Science Ethics

Data Science Ethics
  • Author : David Martens
  • Publisher : Oxford University Press
  • Release Date : 2022-03-24
  • Total pages : 256
  • ISBN : 9780192663023
  • File Size : 30,9 Mb
  • Total Download : 670

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Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.

Big Data, Crime and Social Control

Big Data, Crime and Social Control
  • Author : Aleš Završnik
  • Publisher : Routledge
  • Release Date : 2017-09-20
  • Total pages : 230
  • ISBN : 9781315395760
  • File Size : 15,9 Mb
  • Total Download : 826

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From predictive policing to self-surveillance to private security, the potential uses to of big data in crime control pose serious legal and ethical challenges relating to privacy, discrimination, and the presumption of innocence. The book is about the impacts of the use of big data analytics on social and crime control and on fundamental liberties. Drawing on research from Europe and the US, this book identifies the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential challenges to human rights and democracy and recommends regulatory solutions and best practice. This book focuses on changes in knowledge production and the manifold sites of contemporary surveillance, ranging from self-surveillance to corporate and state surveillance. It tackles the implications of big data and predictive algorithmic analytics for social justice, social equality, and social power: concepts at the very core of crime and social control. This book will be of interest to scholars and students of criminology, sociology, politics and socio-legal studies.

Big Data and Ethics

Big Data and Ethics
  • Author : Jérôme Béranger
  • Publisher : Elsevier
  • Release Date : 2016-07-21
  • Total pages : 324
  • ISBN : 9780081010624
  • File Size : 24,9 Mb
  • Total Download : 956

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Faced with the exponential development of Big Data and both its legal and economic repercussions, we are still slightly in the dark concerning the use of digital information. In the perpetual balance between confidentiality and transparency, this data will lead us to call into question how we understand certain paradigms, such as the Hippocratic Oath in medicine. As a consequence, a reflection on the study of the risks associated with the ethical issues surrounding the design and manipulation of this “massive data seems to be essential. This book provides a direction and ethical value to these significant volumes of data. It proposes an ethical analysis model and recommendations to better keep this data in check. This empirical and ethico-technical approach brings together the first aspects of a moral framework directed toward thought, conscience and the responsibility of citizens concerned by the use of data of a personal nature. Defines Big Data applications in health Presents the ethical value of the medical datasphere via the description of a model of an ethical analysis of Big Data Provides the recommendations and steps necessary for successful management and governance of personal health data Helps readers determine what conditions are essential for the development of the study of Big Data

Big Data Ethics in Research

Big Data Ethics in Research
  • Author : Nicolae Sfetcu
  • Publisher : MultiMedia Publishing
  • Release Date : 2023
  • Total pages : 34
  • ISBN : 9786060333067
  • File Size : 49,6 Mb
  • Total Download : 115

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The main problems faced by scientists in working with Big Data sets, highlighting the main ethical issues, taking into account the legislation of the European Union. After a brief Introduction to Big Data, the Technology section presents specific research applications. There is an approach to the main philosophical issues in Philosophical Aspects, and Legal Aspects with specific ethical issues in the EU Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive - General Data Protection Regulation, "GDPR"). The Ethics Issues section details the specific aspects of Big Data. After a brief section of Big Data Research, I finalize my work with the presentation of Conclusions on research ethics in working with Big Data. CONTENTS: Abstract 1. Introduction - 1.1 Definitions - 1.2 Big Data dimensions 2. Technology - 2.1 Applications - - 2.1.1 In research 3. Philosophical aspects 4. Legal aspects - 4.1 GDPR - - Stages of processing of personal data - - Principles of data processing - - Privacy policy and transparency - - Purposes of data processing - - Design and implicit confidentiality - - The (legal) paradox of Big Data 5. Ethical issues - Ethics in research - Awareness - Consent - Control - Transparency - Trust - Ownership - Surveillance and security - Digital identity - Tailored reality - De-identification - Digital inequality - Privacy 6. Big Data research Conclusions Bibliography DOI: 10.13140/RG.2.2.11054.46401

The Oxford Handbook of Public Health Ethics

The Oxford Handbook of Public Health Ethics
  • Author : Anna C. Mastroianni,Jeffrey P. Kahn,Nancy E. Kass
  • Publisher : Oxford University Press
  • Release Date : 2019-07-23
  • Total pages : 992
  • ISBN : 9780190933197
  • File Size : 9,6 Mb
  • Total Download : 409

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Natural disasters and cholera outbreaks. Ebola, SARS, and concerns over pandemic flu. HIV and AIDS. E. coli outbreaks from contaminated produce and fast foods. Threats of bioterrorism. Contamination of compounded drugs. Vaccination refusals and outbreaks of preventable diseases. These are just some of the headlines from the last 30-plus years highlighting the essential roles and responsibilities of public health, all of which come with ethical issues and the responsibilities they create. Public health has achieved extraordinary successes. And yet these successes also bring with them ethical tension. Not all public health successes are equally distributed in the population; extraordinary health disparities between rich and poor still exist. The most successful public health programs sometimes rely on policies that, while improving public health conditions, also limit individual rights. Public health practitioners and policymakers face these and other questions of ethics routinely in their work, and they must navigate their sometimes competing responsibilities to the health of the public with other important societal values such as privacy, autonomy, and prevailing cultural norms. This Oxford Handbook provides a sweeping and comprehensive review of the current state of public health ethics, addressing these and numerous other questions. Taking account of the wide range of topics under the umbrella of public health and the ethical issues raised by them, this volume is organized into fifteen sections. It begins with two sections that discuss the conceptual foundations, ethical tensions, and ethical frameworks of and for public health and how public health does its work. The thirteen sections that follow examine the application of public health ethics considerations and approaches across a broad range of public health topics. While chapters are organized into topical sections, each chapter is designed to serve as a standalone contribution. The book includes 73 chapters covering many topics from varying perspectives, a recognition of the diversity of the issues that define public health ethics in the U.S. and globally. This Handbook is an authoritative and indispensable guide to the state of public health ethics today.

Research Methodologies and Ethical Challenges in Digital Migration Studies

Research Methodologies and Ethical Challenges in Digital Migration Studies
  • Author : Marie Sandberg,Luca Rossi,Vasilis Galis,Martin Bak Jørgensen
  • Publisher : Springer Nature
  • Release Date : 2021-11-23
  • Total pages : 269
  • ISBN : 9783030812263
  • File Size : 46,9 Mb
  • Total Download : 665

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This Open Access book investigates the methodological and ethical dilemmas involved when working with digital technologies and large-scale datasets in relation to ethnographic studies of digital migration practices and trajectories. Digital technologies reshape not only every phase of the migration process itself (by providing new ways to access, to share and preserve relevant information) but also the activities of other actors, from solidarity networks to border control agencies. In doing so, digital technologies create a whole new set of ethical and methodological challenges for migration studies: from data access to data interpretation, privacy protection, and research ethics more generally. Of specific concern are the aspects of digital migration researchers accessing digital platforms used by migrants, who are subject to precarious and insecure life circumstances, lack recognised papers and are in danger of being rejected and deported. Thus, the authors call for new modes of caring for (big) data when researching migrants’ digital practices in the configuration of migration and borders. Besides taking proper care of research participants’ privacy, autonomy, and security, this also spans carefully establishing analytically sustainable environments for the respective data sets. In doing so, the book argues that it is essential to carefully reflect on researchers’ own positioning as being part of the challenge they seek to address.

Handbook of Service Science, Volume II

Handbook of Service Science, Volume II
  • Author : Paul P. Maglio,Cheryl A. Kieliszewski,James C. Spohrer,Kelly Lyons,Lia Patrício,Yuriko Sawatani
  • Publisher : Springer
  • Release Date : 2018-10-16
  • Total pages : 845
  • ISBN : 9783319985121
  • File Size : 49,8 Mb
  • Total Download : 342

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The second volume of this successful handbook represents varied perspectives on the fast-expanding field of Service Science. The novel work collected in these chapters is drawn from both new researchers who have grown-up with Service Science, as well as established researchers who are adapting their frames for the modern service context. The first Handbook of Service Science marked the emergence of Service Science when disciplinary studies of business-to-customer service systems intertwined to meet the needs of a new era of business-to-business and global service ecosystems. Today, the evolving discipline of Service Science involves advanced technologies, such as smartphones, cloud, social platforms, big data analytics, and artificial intelligence. These technologies are reshaping the service landscape, transforming both business models and public policy, ranging from retail and hospitality to transportation and communications. By looking through the eyes of today’s new Service Scientists, it is anticipated that value and grand challenges will emerge from the integration of theories, methods, and techniques brought together in the first volume, but which are now rooted more deeply in service-dominant logic and systems thinking in this second volume. The handbook is divided into four parts: 1) Service Experience--On the Human-centered Nature of Service; 2) Service Systems–On the Nature of Service Interactions; 3) Service Ecosystems–On the Broad Context of Service; 4) Challenges–On Rethinking the Theory and Foundations of Service Science. The chapters add clarity on how to identify, enable, and measure service, thus allowing for new ideas and connections made to physics, design, computer science, and data science and analytics for advancing service innovation and the welfare of society. Handbook of Service Science, Volume II offers a thorough reference suitable for a wide-reaching audience including researchers, practitioners, managers, and students who aspire to learn about or to create a deeper scientific foundation for service design and engineering, service experience and marketing, and service management and innovation.

The Ethics of Medical Data Donation

The Ethics of Medical Data Donation
  • Author : Jenny Krutzinna,Luciano Floridi
  • Publisher : Springer
  • Release Date : 2019-01-16
  • Total pages : 198
  • ISBN : 9783030043636
  • File Size : 30,6 Mb
  • Total Download : 561

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This open access book presents an ethical approach to utilizing personal medical data. It features essays that combine academic argument with practical application of ethical principles. The contributors are experts in ethics and law. They address the challenges in the re-use of medical data of the deceased on a voluntary basis. This pioneering study looks at the many factors involved when individuals and organizations wish to share information for research, policy-making, and humanitarian purposes. Today, it is easy to donate blood or even organs, but it is virtually impossible to donate one’s own medical data. This is seen as ethically unacceptable. Yet, data donation can greatly benefit the welfare of our societies. This collection provides timely interdisciplinary research on biomedical big data. Topics include the ethics of data donation, the legal and regulatory challenges, and the current and future collaborations. Readers will learn about the ethical and regulatory challenges associated with medical data donations. They will also better understand the special nature of using deceased data for research purposes with regard to ethical principles of autonomy, beneficence, and justice. In addition, the contributors identify the key governance issues of such a scheme. The essays also look at what we can learn in terms of best practice from existing medical data schemes.

Data Feminism

Data Feminism
  • Author : Catherine D'Ignazio,Lauren F. Klein
  • Publisher : MIT Press
  • Release Date : 2020-03-31
  • Total pages : 328
  • ISBN : 9780262358538
  • File Size : 31,9 Mb
  • Total Download : 280

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A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.