Ethical Reasoning for a Data-Centered World
Ethical Reasoning for a Data-Centered World by Rochelle E Tractenberg, published by Ethics International Press Limited in 2022, is a comprehensive resource designed for undergraduate and graduate students engaged in data-related fields. This 410-page book emphasizes the importance of ethical practices in statistics and computing, drawing on the established standards from the American Statistical Association (ASA) and the Association of Computing Machinery (ACM). It provides a structured approach to understanding and prioritizing ethical considerations across various disciplines that utilize data.
Readers will find that the book is organized around seven key tasks: Planning/Designing, Data Collection, Analysis, Interpretation, Reporting, Documenting, and Engaging in Team Work. This organization facilitates engagement and integration with prior learning, making it a practical guide for those pursuing careers in research, teaching, business, or government. By focusing on ethical statistics, computing, and data science, this edition serves as a valuable companion to Ethical Practice of Statistics and Data Science, also published by Ethics International Press in 2022.
Official synopsis Publisher
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.
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