Ethics In Statistics

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Ethics in Statistics

Author : Hassan Doosti
Publisher : Ethics International Press
ISBN 13 : 1871891663
Total Pages : 598 pages
Book Rating : 4.8/5 (718 download)

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Book Synopsis Ethics in Statistics by : Hassan Doosti

Download or read book Ethics in Statistics written by Hassan Doosti and published by Ethics International Press. This book was released on 2024-03-29 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data plays a vital role in different parts of our lives. In the world of big data, and policy determined by a variety of statistical artifacts, discussions around the ethics of data gathering, manipulation and presentation are increasingly important. Ethics in Statistics aims to make a significant contribution to that debate. The processes of gathering data through sampling, summarising of the findings, and extending results to a population, need to be checked via an ethical prospective, as well as a statistical one. Statistical learning without ethics can be harmful for mankind. This edited collection brings together contributors in the field of data science, data analytics and statistics, to share their thoughts about the role of ethics in different aspects of statistical learning.

Ethical Practice of Statistics and Data Science

Author : Rochelle Tractenberg
Publisher : Ethics International Press
ISBN 13 : 1804410772
Total Pages : 685 pages
Book Rating : 4.8/5 (44 download)

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Book Synopsis Ethical Practice of Statistics and Data Science by : Rochelle Tractenberg

Download or read book Ethical Practice of Statistics and Data Science written by Rochelle Tractenberg and published by Ethics International Press. This book was released on 2023-11-25 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ethical Practice of Statistics and Data Science is intended to prepare people to fully assume their responsibilities to practice statistics and data science ethically. Aimed at early career professionals, practitioners, and mentors or supervisors of practitioners, the book supports the ethical practice of statistics and data science, with an emphasis on how to earn the designation of, and recognize, “the ethical practitioner”. The book features 47 case studies, each mapped to the Data Science Ethics Checklist (DSEC); Data Ethics Framework (DEFW); the American Statistical Association (ASA) Ethical Guidelines for Statistical Practice; and the Association of Computing Machinery (ACM) Code of Ethics. It is necessary reading for students enrolled in any data intensive program, including undergraduate or graduate degrees in (bio-)statistics, business/analytics, or data science. Managers, leaders, supervisors, and mentors who lead data-intensive teams in government, industry, or academia would also benefit greatly from this book. This is a companion volume to Ethical Reasoning For A Data-Centered World, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the ASA and ACM Ethical Guidelines/Code of Ethics.

Data Science Ethics

Author : David Martens
Publisher : Oxford University Press
ISBN 13 : 0192847260
Total Pages : 273 pages
Book Rating : 4.1/5 (928 download)

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Book Synopsis Data Science Ethics by : David Martens

Download or read book Data Science Ethics written by David Martens and published by Oxford University Press. This book was released on 2022-03-24 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

97 Things About Ethics Everyone in Data Science Should Know

Author : Bill Franks
Publisher : O'Reilly Media
ISBN 13 : 149207263X
Total Pages : 347 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis 97 Things About Ethics Everyone in Data Science Should Know by : Bill Franks

Download or read book 97 Things About Ethics Everyone in Data Science Should Know written by Bill Franks and published by O'Reilly Media. This book was released on 2020-08-06 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary Concept—Tim Wilson How to Approach Ethical Transparency—Rado Kotorov Unbiased ≠ Fair—Doug Hague Rules and Rationality—Christof Wolf Brenner The Truth About AI Bias—Cassie Kozyrkov Cautionary Ethics Tales—Sherrill Hayes Fairness in the Age of Algorithms—Anna Jacobson The Ethical Data Storyteller—Brent Dykes Introducing Ethicize™, the Fully AI-Driven Cloud-Based Ethics Solution!—Brian O’Neill Be Careful with "Decisions of the Heart"—Hugh Watson Understanding Passive Versus Proactive Ethics—Bill Schmarzo

A Statistical Guide for the Ethically Perplexed

Author : Lawrence Hubert
Publisher : CRC Press
ISBN 13 : 1439873690
Total Pages : 568 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis A Statistical Guide for the Ethically Perplexed by : Lawrence Hubert

Download or read book A Statistical Guide for the Ethically Perplexed written by Lawrence Hubert and published by CRC Press. This book was released on 2012-09-25 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring the intersection of ethics and statistics, this comprehensive guide illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers' day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. In addition, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation.

Handbook of Ethics in Quantitative Methodology

Author : A. T. Panter
Publisher : Routledge
ISBN 13 : 1136888721
Total Pages : 508 pages
Book Rating : 4.1/5 (368 download)

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Book Synopsis Handbook of Ethics in Quantitative Methodology by : A. T. Panter

Download or read book Handbook of Ethics in Quantitative Methodology written by A. T. Panter and published by Routledge. This book was released on 2011-03-01 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices. The order of the Handbook chapters parallels the chronology of the research process: determining the research design and data collection; data analysis; and communicating findings. Each chapter: Explores the ethics of a particular topic Identifies prevailing methodological issues Reviews strategies and approaches for handling such issues and their ethical implications Provides one or more case examples Outlines plausible approaches to the issue including best-practice solutions. Part 1 presents ethical frameworks that cross-cut design, analysis, and modeling in the behavioral sciences. Part 2 focuses on ideas for disseminating ethical training in statistics courses. Part 3 considers the ethical aspects of selecting measurement instruments and sample size planning and explores issues related to high stakes testing, the defensibility of experimental vs. quasi-experimental research designs, and ethics in program evaluation. Decision points that shape a researchers’ approach to data analysis are examined in Part 4 – when and why analysts need to account for how the sample was selected, how to evaluate tradeoffs of hypothesis-testing vs. estimation, and how to handle missing data. Ethical issues that arise when using techniques such as factor analysis or multilevel modeling and when making causal inferences are also explored. The book concludes with ethical aspects of reporting meta-analyses, of cross-disciplinary statistical reform, and of the publication process. This Handbook appeals to researchers and practitioners in psychology, human development, family studies, health, education, sociology, social work, political science, and business/marketing. This book is also a valuable supplement for quantitative methods courses required of all graduate students in these fields.

Ethical Practice of Statistics and Data Science

Author : Rochelle Tractenberg
Publisher :
ISBN 13 : 9781804412671
Total Pages : 0 pages
Book Rating : 4.4/5 (126 download)

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Book Synopsis Ethical Practice of Statistics and Data Science by : Rochelle Tractenberg

Download or read book Ethical Practice of Statistics and Data Science written by Rochelle Tractenberg and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ethical Practice of Statistics and Data Science is intended to prepare people to fully assume their responsibilities to practice statistics and data science ethically. Aimed at early career professionals, practitioners, and mentors or supervisors of practitioners, the book supports the ethical practice of statistics and data science, with an emphasis on how to earn the designation of, and recognize, the ethical practitioner . The book features 47 case studies, each mapped to the Data Science Ethics Checklist (DSEC); Data Ethics Framework (DEFW); the American Statistical Association (ASA) Ethical Guidelines for Statistical Practice; and the Association of Computing Machinery (ACM) Code of Ethics. It is necessary reading for students enrolled in any data intensive program, including undergraduate or graduate degrees in (bio-)statistics, business/analytics, or data science. Managers, leaders, supervisors, and mentors who lead data-intensive teams in government, industry, or academia would also benefit greatly from this book. This is a companion volume to Ethical Reasoning For A Data-Centered World, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the ASA and ACM Ethical Guidelines/Code of Ethics.

Registries for Evaluating Patient Outcomes

Author : Agency for Healthcare Research and Quality/AHRQ
Publisher : Government Printing Office
ISBN 13 : 1587634333
Total Pages : 396 pages
Book Rating : 4.5/5 (876 download)

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Book Synopsis Registries for Evaluating Patient Outcomes by : Agency for Healthcare Research and Quality/AHRQ

Download or read book Registries for Evaluating Patient Outcomes written by Agency for Healthcare Research and Quality/AHRQ and published by Government Printing Office. This book was released on 2014-04-01 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.

Ethical Reasoning for a Data-Centered World

Author : Rochelle Tractenberg
Publisher : Ethics International Press
ISBN 13 : 1804410799
Total Pages : 411 pages
Book Rating : 4.8/5 (44 download)

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Book Synopsis Ethical Reasoning for a Data-Centered World by : Rochelle Tractenberg

Download or read book Ethical Reasoning for a Data-Centered World written by Rochelle Tractenberg and published by Ethics International Press. This book was released on 2023-11-25 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both. Since statistics and computing are critical in any data-centered activity, these practice standards are essential to instruction in the uses of statistical practices or computing across disciplines. Ethical Reasoning For A Data-Centered World is aimed at any undergraduate or graduate students utilizing data. Whether the career goal is research, teaching, business, government, or a combination, this book presents a method for understanding and prioritizing ethical statistics, computing, and data science – featuring the ASA and ACM practice standards. To facilitate engagement, integration with prior learning, and authenticity, the material is organized around seven tasks: Planning/Designing; Data collection; Analysis; Interpretation; Reporting; Documenting; and Engaging in team work. This book is a companion volume to Ethical Practice of Statistics and Data Science, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the American Statistical Association (ASA) and Association of Computing Machinery (ACM) ethical guideline documents.

Improving Access to and Confidentiality of Research Data

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309071801
Total Pages : 75 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Improving Access to and Confidentiality of Research Data by : National Research Council

Download or read book Improving Access to and Confidentiality of Research Data written by National Research Council and published by National Academies Press. This book was released on 2000-09-11 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving Access to and Confidentiality of Research Data summarizes a workshop convened by the Committee on National Statistics (CNSTAT) to promote discussion about methods for advancing the often conflicting goals of exploiting the research potential of microdata and maintaining acceptable levels of confidentiality. This report outlines essential themes of the access versus confidentiality debate that emerged during the workshop. Among these themes are the tradeoffs and tensions between the needs of researchers and other data users on the one hand and confidentiality requirements on the other; the relative advantages and costs of data perturbation techniques (applied to facilitate public release) versus restricted access as tools for improving security; and the need to quantify disclosure risksâ€"both absolute and relativeâ€"created by researchers and research data, as well as by other data users and other types of data.

Educational Research - the Ethics and Aesthetics of Statistics

Author : Paul Smeyers
Publisher : Springer Science & Business Media
ISBN 13 : 9048198739
Total Pages : 228 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Educational Research - the Ethics and Aesthetics of Statistics by : Paul Smeyers

Download or read book Educational Research - the Ethics and Aesthetics of Statistics written by Paul Smeyers and published by Springer Science & Business Media. This book was released on 2010-12-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics are everywhere. Their power and their undoubted efficacy in many areas have given rise to faith in measurement and metrics. More of them will tell us all that we need to know. Their use carries with it a number of presuppositions: that reality can be satisfactorily represented and that it can be controlled or the risks managed. The papers in this book interpret the ethics and aesthetics of statistics in terms of representation, visualisation and accessibility, focus on the appeal of ‘simplicity’, of technical languages, numbers, diagrams and pictures, and pay attention to their connection with action plans. The book explores what has made educational researchers dependent on statistics, and deals with their use in areas such as the prevalence of maltreatment of children, European citizenship, well-being and happiness, illegal migrants, and university expansion. There is discussion of how the quest for more and better statistics finds its voice in policy initiatives that become slogans, and how public opinion polls are used to rationalise political decision-making. Can a more limited and modest use be made of statistics which does not deflect attention away from education’s core business and which does not destroy the local practical knowledge that on which good education is based? ‘Smeyers and Depaepe continue to bring together a significant international group of educational philosophers and historians on topics of importance to researchers. This fifth volume in their series takes up the ‘gold standard’ use of statistics in case studies not contributed elsewhere. I highly recommend this text to counter a current over-emphasis on technique in research methodology. Use of statistics remains but herein under new, insightful conceptualizations.’ Lynda Stone, Philosophy of Education, University of North Carolina at Chapel Hill, USA ‘Once again, Depaepe and Smeyers succeeded in bringing together distinguished international and cross-disciplinary scholars exploring very timely and critical issues in current educational research. This is a groundbreaking book on a theme that can’t be ignored by educational researchers and those interested in a better understanding of the culture of science and science as culture. Moreover, the present book instigates to study history of educational research, a limited but developing field, and invites reflection to those who are sometimes too reliant on number crunching as a mode of interpretation and rather credulous in the acceptance of institutional records. Frank Simon, Faculty of Psychology and Educational Sciences, Ghent University, Belgium

Ethics and Data Science

Author : Mike Loukides
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492078212
Total Pages : 37 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Ethics and Data Science by : Mike Loukides

Download or read book Ethics and Data Science written by Mike Loukides and published by "O'Reilly Media, Inc.". This book was released on 2018-07-25 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Ethical Reasoning for a Data-Centered World

Author : Rochelle Tractenberg
Publisher :
ISBN 13 : 9781804412688
Total Pages : 0 pages
Book Rating : 4.4/5 (126 download)

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Book Synopsis Ethical Reasoning for a Data-Centered World by : Rochelle Tractenberg

Download or read book Ethical Reasoning for a Data-Centered World written by Rochelle Tractenberg and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both. Since statistics and computing are critical in any data-centered activity, these practice standards are essential to instruction in the uses of statistical practices or computing across disciplines. Ethical Reasoning For A Data-Centered World is aimed at any undergraduate or graduate students utilizing data. Whether the career goal is research, teaching, business, government, or a combination, this book presents a method for understanding and prioritizing ethical statistics, computing, and data science featuring the ASA and ACM practice standards. To facilitate engagement, integration with prior learning, and authenticity, the material is organized around seven tasks: Planning/Designing; Data collection; Analysis; Interpretation; Reporting; Documenting; and Engaging in team work. This book is a companion volume to Ethical Practice of Statistics and Data Science, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the American Statistical Association (ASA) and Association of Computing Machinery (ACM) ethical guideline documents.

The Cult of Statistical Significance

Author : Stephen Thomas Ziliak
Publisher : University of Michigan Press
ISBN 13 : 0472050079
Total Pages : 349 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis The Cult of Statistical Significance by : Stephen Thomas Ziliak

Download or read book The Cult of Statistical Significance written by Stephen Thomas Ziliak and published by University of Michigan Press. This book was released on 2008-02-19 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: How the most important statistical method used in many of the sciences doesn't pass the test for basic common sense

The Handbook of Social Research Ethics

Author : Donna M. Mertens
Publisher : SAGE
ISBN 13 : 1412949181
Total Pages : 689 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis The Handbook of Social Research Ethics by : Donna M. Mertens

Download or read book The Handbook of Social Research Ethics written by Donna M. Mertens and published by SAGE. This book was released on 2009 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brings together international scholars across the social and behavioural sciences and education to address those ethical issues that arise in the theory and practice of research within the technologically advancing and culturally complex world in which we live.

Modern Data Science with R

Author : Benjamin S. Baumer
Publisher : CRC Press
ISBN 13 : 0429575394
Total Pages : 830 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Modern Data Science with R by : Benjamin S. Baumer

Download or read book Modern Data Science with R written by Benjamin S. Baumer and published by CRC Press. This book was released on 2021-03-31 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

Ethical Reasoning in Big Data

Author : Jeff Collmann
Publisher : Springer
ISBN 13 : 3319284223
Total Pages : 194 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Ethical Reasoning in Big Data by : Jeff Collmann

Download or read book Ethical Reasoning in Big Data written by Jeff Collmann and published by Springer. This book was released on 2016-04-22 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.