Title: Ethical Reasoning for a Data-Centered World
Subject Classification:  Data Science, Decision Making, Research  
BIC Classification: GPH, UBJ, JHBC
BISAC Classification: COM018000, SOC027000, EDU027000
Binding: Hardback, Paperback, eBook
Publication date: 25 Oct 2022
ISBN (Hardback): 978-1-80441-078-3
ISBN (eBook): 978-1-80441-079-0
ISBN (Paperback): 978-1-80441-268-8

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Description

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.

Biography

Author(s):  Rochelle Tractenberg is a biostatistician and research methodologist at Georgetown University, with 25 years of experience in biomedical research in academia. Her statistical work focuses on assuring that biomedical and clinical outcomes are developed and analyzed appropriately and interpretably, and that human subjects contribute data to clinical trials efficiently and with robust and reproducible results. She served as vice chair and chair of the ASA Committee on Professional Ethics, and has chaired (2016, 2018) and co-chaired (2021) all of the working groups on revising the ASA Ethical Guidelines for Statistical Practice to date. She is contributing to the development of Ethical Guidelines for Mathematical Practice (2019-2024).

Reviews

“These books (Ethical Reasoning for a Data-Centered World and Ethical Practice of Statistics and Data Science) offer a comprehensive framework for ensuring that our work in data science is conducted with the highest ethical standards. For public health professionals, this guidance is indispensable. In today’s world, the scepticism around data has evolved into a broader concern. These companion volumes are notable for being the first and only books to provide guidance based on the ethical guidelines or code of ethics from the American Statistical Association (ASA) and the Association of Computing Machinery (ACM). The books are not merely academic texts but essential guides that bridge the gap between ethical theory and practical application. They create a roadmap for training and integrating ethical reasoning in classroom settings. As public health professionals, we are often at the forefront of policy implementation and science communication, making the insights from these books particularly relevant. Rochelle Tractenberg’s comprehensive exploration of ethical practices in data science is a timely and invaluable resource for the public health community. Her books are essential companions for anyone committed to the responsible use of data in public health."

- Elena N. Naumova, Editor-in-Chief of the Journal of Public Health Policy.