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Ethical Practice of Statistics and Data Science Tractenberg,Rochelle.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Tractenberg,Rochelle, Author.
Language:
English
Physical Description:
1 online resource (686 pages)
Place of Publication:
Ethics International Press 2023
Summary:
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.
Contents:
List of Cases Introduction Section 1: Ethical Reasoning KSAs, the ASA Guidelines, ACM Code of Ethics Chapter 1.1 Ethical Reasoning (ER) Knowledge, Skills, and Abilities (KSAs)1 Chapter 1.2 The ASA Ethical Guidelines for Statistical Practice Chapter 1.3 ACM Code of Ethics Chapter 1.4 The Data Science Ethics Checklist (DSEC) and Data Ethics Framework (DEFW) Chapter 1.5 The "Universe of Statistics and Data Science": Tasks Chapter 1.6 Exploring Guidance from ACM, ASA, DSEC, & DEFW8 Chapter 1.7 Augmenting your "Prerequisite Knowledge": Stakeholder Analysis11. Section 2. Stewardship of the profession: prerequisite knowledge Chapter 2.1 Introduction to Section 2 Chapter 2.2 Planning/Designing Chapter 2.3 Data Collection/Munging/Wrangling Chapter 2.4 Analysis (perform or program to perform) Chapter 2.5 Interpretation Chapter 2.6 Documenting your Work Chapter 2.7 Reporting your Results/Communication Chapter 2.8 Engaging in Team Science/Teamwork Chapter 2.9 Summary of Section 2 Section 3. Using all Six Ethical Reasoning KSAs with the GLs/CE in Practice (case analyses with discussion) Chapter 3.1 Introduction to Section 316 Chapter 3.2 Planning/Designing Chapter 3.3 Data Collection/Munging/Wrangling Chapter 3.4 Analysis (Perform, or Program to Perform) Chapter 3.5 Interpretation Chapter 3.6 Documenting your work Chapter 3.7 Reporting Chapter 3.8 Engaging in team science/ working with others Chapter 3.9 Summary of Section 3 Chapter 3.10 Book Summary
ISBN:
1-80441-077-2

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