Overview
- Defines and explains the main types of ethical dilemmas in handling big data
- Proposes a set of principles for developing sound ethical handling of big data
- Discusses methods for individual and organizational ethical reasoning in big data contexts
- Presents methods for teaching ethical reasoning to big data researchers
- Includes supplementary material: sn.pub/extras
Part of the book series: Computational Social Sciences (CSS)
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About this book
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.
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Keywords
Table of contents (11 chapters)
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Front Matter
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Applying a Contextual Analysis of Privacy in Big Data Research
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Front Matter
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Ethical Reasoning Beyond Privacy in Big Data
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Front Matter
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Institutionalizing Ethical Reasoning About Big Data
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Front Matter
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Reviews
“Ethical reasoning in big data: an exploratory analysis is a timely book on the ethical aspects of big data. … Big data analytics is a very important tool for future society. Used properly, it can benefit generations to come. Keep in mind that governments and corporations could also use it to invade people’s privacy and well being. Therefore, everyone should keep an eye on big data development.” (R. S. Chang, Computing Reviews, March, 2017)
“This book tries to analyze the meaning of privacy … . It looks at specific domains, including the American public’s attitudes; ways to build trust while analyzing large bodies of data; genomics research; and personal privacy on the internet. … Summing Up: Recommended. All readers.” (H. Levkowitz, Choice, Vol. 54 (6), February, 2017)
“Nearly 20 US-affiliated researchers contributed ten chapters to this collection, which originated at ‘Privacy in the Infosphere: an NSF-Sponsored Workshop on Ethical Analysis of Big Data,’ at GeorgetownUniversity. … a variety of practitioners, researchers, and students will find this material of interest. … big data is here and we must think about the ethical implications of how data is collected, stored, and utilized. This is the strength of this work.” (Brad Reid, Computing Reviews, computingreviews.com, October, 2016)
Editors and Affiliations
About the editors
Sorin Adam Matei
Purdue University
100 N. University Drive
West Lafayette, IN 46077
Jeff Collmann
Office of the Senior Vice President for Research
Georgetown University
37th and O Streets, N.W.
Washington, DC 20015
Purdue University
100 N. University Drive
West Lafayette, IN 46077
Jeff Collmann
Office of the Senior Vice President for Research
Georgetown University
37th and O Streets, N.W.
Washington, DC 20015
Bibliographic Information
Book Title: Ethical Reasoning in Big Data
Book Subtitle: An Exploratory Analysis
Editors: Jeff Collmann, Sorin Adam Matei
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-319-28422-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-28420-0Published: 03 May 2016
Softcover ISBN: 978-3-319-80351-7Published: 26 May 2018
eBook ISBN: 978-3-319-28422-4Published: 22 April 2016
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: X, 192
Number of Illustrations: 14 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Ethics, Applications of Graph Theory and Complex Networks, Complex Systems