Название: Ethical Practice of Statistics and Data ScienceАвтор: Rochelle Tractenberg
Издательство: Ethics International Press
Год: 2022
Страниц: 484
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB
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.
Section 1 also introduces checklists, series of questions designed to support “data science ethics” and “data ethics”. Section 1 ends with the contextualization of these checklists within a wider professional setting, demonstrating how project-based decisions and decision making do not prepare individuals to practice statistics and data science ethically.
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.
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