Ethical Reasoning for a Data-Centered World
Seiten
2022
|
New edition
Ethics International Press Ltd (Verlag)
978-1-80441-078-3 (ISBN)
Ethics International Press Ltd (Verlag)
978-1-80441-078-3 (ISBN)
Providing an authentic and practical method of ethical reasoning with the ASA and ACM ethical guidelines allowing researchers, instructors, students and practitioners to recognize how to ethically perform the tasks of statistics and data science.
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.
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.
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 | 1-80441-078-0 / 1804410780 |
| ISBN-13 | 978-1-80441-078-3 / 9781804410783 |
| Zustand | Neuware |
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