You can find all my papers, annotated presentations, white papers and chapters here on academia.edu.
and my teaching portfolio is available here.
In addition to these materials, I have completed some books that are intended to support instructors throughout higher education in their efforts to integrate ethical practice, stewardship, and teaching for learning. Two books will be published in October 2022, and one new book is in early writing stages; these three discuss ethical practices around statistics, data science, and data in general. Another book, about teaching and learning in higher education with the Mastery Rubric, is in final stages of completion. I plan to update the respective stand-alone sites for the ethics books (ethicalreasoning.org) and Mastery Rubric book (masteryrubric.org) in the coming weeks. These sites will have downloadable materials as well as links to the books as they become available. The two 2022 books are:
- Tractenberg RE. Ethical reasoning for a data-centered world.
A resource to help the reader integrate ethics – applied specifically for statistics, data science, and working with data – into self-directed learning, a stand-alone course, or as an adjunct to intro-level course in statistics, data science, or ethics. The book introduces the ASA Ethical Guidelines for Statistical Practice (2022) and the Code of Ethics (2018) from the Association of Computing Machinery (ACM). The Ethical Reasoning paradigm is introduced, as is a stakeholder analysis table. Full case analyses are included for each of the tasks along the statistics and data science pipeline.
- Tractenberg RE. Ethical practice of statistics and data science.
Ensure that you, your students, and your mentees or team members are able to practice statistics, data science, and work with data ethically. A resource for self-directed learning, teams at work, a stand-alone or capstone course, or to augment any course in statistics, data science, or ethics. The book includes the ASA Ethical Guidelines for Statistical Practice (2022) and the Code of Ethics (2018) from the Association of Computing Machinery (ACM). The Ethical Reasoning paradigm is re-introduced, as is a stakeholder analysis. Two additional resources are utilized, the Data Ethics Framework (DEFW) and Data Science Ethics Checklist (DSEC). Forty-seven case analyses make up Section 3 of this book; there are 5-9 cases for each of the tasks along the statistics and data science pipeline. Each case analysis discusses how the ACM, ASA, DEFW and DSEC pertain.
These two ethics books are available to order from the publisher site more fully discussed at ethicalreasoning.org . A third book about ethical reasoning and ethical practice of statistics and data science is in preparation (Sept 2022). This book discusses Leading ethical teams in statistics, data science, and AI. As that book progresses, updates will be posted at ethicalreasoning.org .
I have completed a book about the Mastery Rubric construct (of which the Ethical Reasoning one is the 2nd). The book (in prep as of October 2022) is discussed at masteryrubric.org:
- Tractenberg RE. Practical higher education curriculum and instructional design with the Mastery Rubric.
Decades of cognitive and educational sciences research has been distilled into easy-to-use tools – Mastery Rubrics- for assuring students in higher education will develop the critical thinking you and your institution value. In addition to one for learning-centered teaching in higher education, four other Mastery Rubrics are presented in this book, together with learning outcomes for 1-4+ year trajectories: for ethical reasoning; statistical literacy; stewardship of the discipline or profession; and scientific thinking.
The two ethics books are scheduled for publication in October 2022; the MR book is in final preparations for submission. The third ethics book will likely begin the “serious writing phase” in 2023. As soon as the books become available, links to all major online retailers will be posted here and on their respective sites.