Overview

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.

Full Product Details

9781804410769

Table of Contents

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.

Author Information

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).

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available