Ethical Reasoning in Big Data

An Exploratory Analysis

Nonfiction, Computers, Database Management, Religion & Spirituality, Philosophy, Ethics & Moral Philosophy, General Computing
Cover of the book Ethical Reasoning in Big Data by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319284224
Publisher: Springer International Publishing Publication: April 22, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319284224
Publisher: Springer International Publishing
Publication: April 22, 2016
Imprint: Springer
Language: English

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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. 

More books from Springer International Publishing

Cover of the book Job Scheduling Strategies for Parallel Processing by
Cover of the book Mockumentary Comedy by
Cover of the book Neuropsychiatric Symptoms of Cognitive Impairment and Dementia by
Cover of the book Protein Ligation and Total Synthesis II by
Cover of the book Wage Inequality in Africa by
Cover of the book Smart Solutions in Today’s Transport by
Cover of the book Multi-Agent Based Simulation XVIII by
Cover of the book Computational and Experimental Biomedical Sciences: Methods and Applications by
Cover of the book Statistical Language and Speech Processing by
Cover of the book Heteronuclear Efimov Scenario in Ultracold Quantum Gases by
Cover of the book Mathematical Modeling of Social Relationships by
Cover of the book Python beyond Python by
Cover of the book Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors by
Cover of the book Computational and Corpus-Based Phraseology by
Cover of the book The Roads to Congress 2016 by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy