Ethical Practice of Statistics and Data Science
Seiten
2022
|
New edition
Ethics International Press Ltd (Verlag)
978-1-80441-076-9 (ISBN)
Ethics International Press Ltd (Verlag)
978-1-80441-076-9 (ISBN)
Ethical Practice of Statistics and Data Science is intended to support the ethical practice of statistics and data science, with an emphasis on how to earn the designation of, and recognize, "the ethical practitioner".
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.
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.
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).
| Erscheinungsdatum | 17.10.2022 |
|---|---|
| Verlagsort | Bury St Edmunds |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 1-80441-076-4 / 1804410764 |
| ISBN-13 | 978-1-80441-076-9 / 9781804410769 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Datenanalyse für Künstliche Intelligenz
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90
Auswertung von Daten mit pandas, NumPy und IPython
Buch | Softcover (2023)
O'Reilly (Verlag)
CHF 62,85
