Ethical Practice of Statistics and Data Science

Download Ethical Practice of Statistics and Data Science PDF Online Free

Author :
Publisher : Ethics International Press
ISBN 13 : 1804410772
Total Pages : 685 pages
Book Rating : 4.76/5 ( download)

DOWNLOAD NOW!


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.

Ethical Practice of Statistics and Data Science

Download Ethical Practice of Statistics and Data Science PDF Online Free

Author :
Publisher :
ISBN 13 : 9781804412671
Total Pages : 0 pages
Book Rating : 4.78/5 ( download)

DOWNLOAD NOW!


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.

Ethical Reasoning for a Data-Centered World

Download Ethical Reasoning for a Data-Centered World PDF Online Free

Author :
Publisher : Ethics International Press
ISBN 13 : 1804410799
Total Pages : 411 pages
Book Rating : 4.90/5 ( download)

DOWNLOAD NOW!


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.

Ethics in Statistics

Download Ethics in Statistics PDF Online Free

Author :
Publisher : Ethics International Press
ISBN 13 : 1871891663
Total Pages : 598 pages
Book Rating : 4.69/5 ( download)

DOWNLOAD NOW!


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.

97 Things About Ethics Everyone in Data Science Should Know

Download 97 Things About Ethics Everyone in Data Science Should Know PDF Online Free

Author :
Publisher : O'Reilly Media
ISBN 13 : 149207263X
Total Pages : 347 pages
Book Rating : 4.38/5 ( download)

DOWNLOAD NOW!


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

Ethics and Data Science

Download Ethics and Data Science PDF Online Free

Author :
Publisher : O'Reilly Media
ISBN 13 : 1492078220
Total Pages : 40 pages
Book Rating : 4.27/5 ( download)

DOWNLOAD NOW!


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. This book was released on 2018-07-25 with total page 40 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

Download Ethical Reasoning for a Data-Centered World PDF Online Free

Author :
Publisher :
ISBN 13 : 9781804412688
Total Pages : 0 pages
Book Rating : 4.86/5 ( download)

DOWNLOAD NOW!


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.

Applied Data Science

Download Applied Data Science PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 303129937X
Total Pages : 195 pages
Book Rating : 4.77/5 ( download)

DOWNLOAD NOW!


Book Synopsis Applied Data Science by : Douglas G. Woolford

Download or read book Applied Data Science written by Douglas G. Woolford and published by Springer Nature. This book was released on 2023-05-09 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.

A Statistical Guide for the Ethically Perplexed

Download A Statistical Guide for the Ethically Perplexed PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1439873682
Total Pages : 588 pages
Book Rating : 4.87/5 ( download)

DOWNLOAD NOW!


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 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: For disciplines concerned with human well-being, such as medicine, psychology, and law, statistics must be used in accordance with standards for ethical practice. A Statistical Guide for the Ethically Perplexed illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Designed to be consulted when learning formal statistical techniques, the text describes common instances of both correct and false statistical and probabilistic reasoning. 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. The historical vignettes encompass the English case of Sally Clark, breast cancer screening, risk and gambling, the Federal Rules of Evidence, "high-stakes" testing, regulatory issues in medicine, difficulties with observational studies, ethics in human experiments, health statistics, and much more. In addition to these topics, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation. Exploring the intersection of ethics and statistics, this comprehensive guide assists readers in becoming critical and ethical consumers and producers of statistical reasoning and analyses. It will help them reason correctly and use statistics in an ethical manner.

Responsible Data Science

Download Responsible Data Science PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119741777
Total Pages : 304 pages
Book Rating : 4.70/5 ( download)

DOWNLOAD NOW!


Book Synopsis Responsible Data Science by : Peter C. Bruce

Download or read book Responsible Data Science written by Peter C. Bruce and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair. Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to: Improve model transparency, even for black box models Diagnose bias and unfairness within models using multiple metrics Audit projects to ensure fairness and minimize the possibility of unintended harm Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.