Ethical Reasoning For A Data Centered World
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Author | : Rochelle Tractenberg |
Publisher | : Ethics International Press |
Total Pages | : 411 |
Release | : 2023-11-25 |
Genre | : Language Arts & Disciplines |
ISBN | : 1804410799 |
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.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 126 |
Release | : 2015-09-18 |
Genre | : Science |
ISBN | : 0309378125 |
Sharing research data on public health issues can promote expanded scientific inquiry and has the potential to advance improvements in public health. Although sharing data is the norm in some research fields, sharing of data in public health is not as firmly established. In March 2015, the National Research Council organized an international conference in Stellenbosch, South Africa, to explore the benefits of and barriers to sharing research data within the African context. The workshop brought together public health researchers and epidemiologists primarily from the African continent, along with selected international experts, to talk about the benefits and challenges of sharing data to improve public health, and to discuss potential actions to guide future work related to public health research data sharing. Sharing Research Data to Improve Public Health in Africa summarizes the presentations and discussions from this workshop.
Author | : Rochelle Tractenberg |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : |
ISBN | : 9781804412688 |
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.
Author | : Marianne M. Jennings |
Publisher | : St. Martin's Press |
Total Pages | : 552 |
Release | : 2006-08-22 |
Genre | : Business & Economics |
ISBN | : 1466824255 |
Do you want to make sure you · Don't invest your money in the next Enron? · Don't go to work for the next WorldCom right before the crash? · Identify and solve problems in your organization before they send it crashing to the ground? Marianne Jennings has spent a lifetime studying business ethics---and ethical failures. In demand nationwide as a speaker and analyst on business ethics, she takes her decades of findings and shows us in The Seven Signs of Ethical Collapse the reasons that companies and nonprofits undergo ethical collapse, including: · Pressure to maintain numbers · Fear and silence · Young 'uns and a larger-than-life CEO · A weak board · Conflicts · Innovation like no other · Belief that goodness in some areas atones for wrongdoing in others Don't watch the next accounting disaster take your hard-earned savings, or accept the perfect job only to find out your boss is cooking the books. If you're just interested in understanding the (not-so) ethical underpinnings of business today, The Seven Signs of Ethical Collapse is both a must-have tool and a fascinating window into today's business world.
Author | : Rochelle Tractenberg |
Publisher | : Ethics International Press |
Total Pages | : 685 |
Release | : 2023-11-25 |
Genre | : Language Arts & Disciplines |
ISBN | : 1804410772 |
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.
Author | : American Nurses Association |
Publisher | : Nursesbooks.org |
Total Pages | : 42 |
Release | : 2001 |
Genre | : Business & Economics |
ISBN | : 1558101764 |
Pamphlet is a succinct statement of the ethical obligations and duties of individuals who enter the nursing profession, the profession's nonnegotiable ethical standard, and an expression of nursing's own understanding of its commitment to society. Provides a framework for nurses to use in ethical analysis and decision-making.
Author | : Hassan Doosti |
Publisher | : Ethics International Press |
Total Pages | : 598 |
Release | : 2024-03-29 |
Genre | : Reference |
ISBN | : 1871891663 |
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.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 103 |
Release | : 2019-01-28 |
Genre | : Science |
ISBN | : 030948247X |
In an increasingly interconnected world, perhaps it should come as no surprise that international collaboration in science and technology research is growing at a remarkable rate. As science and technology capabilities grow around the world, U.S.-based organizations are finding that international collaborations and partnerships provide unique opportunities to enhance research and training. International research agreements can serve many purposes, but data are always involved in these collaborations. The kinds of data in play within international research agreements varies widely and may range from financial and consumer data, to Earth and space data, to population behavior and health data, to specific project-generated dataâ€"this is just a narrow set of examples of research data but illustrates the breadth of possibilities. The uses of these data are various and require accounting for the effects of data access, use, and sharing on many different parties. Cultural, legal, policy, and technical concerns are also important determinants of what can be done in the realms of maintaining privacy, confidentiality, and security, and ethics is a lens through which the issues of data, data sharing, and research agreements can be viewed as well. A workshop held on March 14-16, 2018, in Washington, DC explored the changing opportunities and risks of data management and use across disciplinary domains. The third workshop in a series, participants gathered to examine advisory principles for consideration when developing international research agreements, in the pursuit of highlighting promising practices for sustaining and enabling international research collaborations at the highest ethical level possible. The intent of the workshop was to explore, through an ethical lens, the changing opportunities and risks associated with data management and use across disciplinary domainsâ€"all within the context of international research agreements. This publication summarizes the presentations and discussions from the workshop.
Author | : Richard Paul |
Publisher | : Rowman & Littlefield |
Total Pages | : 57 |
Release | : 2019-06-01 |
Genre | : Education |
ISBN | : 1538133784 |
In The Thinker’s Guide to Ethical Reasoning, Richard Paul and Linda Elder present the vital role of ethics in the creation and ultimate success of cooperative societies. Independent of religious or cultural norms, ethical concepts promote sustainable advancement and offer a framework by which all people can not only coexist but prosper. Exploring the nature of ethical reasoning, the guide reveals the most common ways ethical reasoning becomes flawed and teaches readers how to avoid these flaws. It lays out the function of ethics and its main impediments, the social counterfeits of ethics, the elements of ethical reasoning, important ethical abilities and traits, a vocabulary of ethics, and intellectual standards essential to assessing ethical reasoning. As part of the Thinker’s Guide Library, this book advances the mission of the Foundation for Critical Thinking to promote fairminded critical societies through cultivating essential intellectual abilities and virtues across every field of study across world.
Author | : Cecilia Aragon |
Publisher | : MIT Press |
Total Pages | : 201 |
Release | : 2022-03-01 |
Genre | : Computers |
ISBN | : 0262367599 |
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.