Integrating ethical reasoning and content into statistics and data science courses
Wednesday July 24 4pm to 5pm online
Join lecture live using this link
https://auckland.zoom.us/j/93350846282
Statistical Practice includes designing the collection, summarizing, processing, analysing, interpreting, or presenting, of data; as well as model or algorithm development and deployment. Ethical Statistical Practice can be defined as statistical practice that conforms to ethical practice standards like the American Statistical Association
In this session, Rochelle will focus on two tools to support ethical decision-making: ethical reasoning, a 6-step process for decision-making,
stakeholder analysis.
These tools can help identify where ethical challenges might arise. They will be discussed with the “statistics and data science (SDS) pipeline” that comprises six tasks:
- Planning/Designing;
- Data collection/munging/wrangling;
- Analysis (perform or program to perform);
- Interpretation;
- Documenting your work;
- Reporting your results/communication
plus a seventh activity, Engaging in team science/team work.
Rochelle Tractenberg is a professor in the Department of Neurology, with appointments in Biostatistics, Bioinformatics Biomathematics and Rehabilitation Medicine, at Georgetown University in Washington, DC.
She is a multi-disciplinary research methodologist and ASA-accredited Professional Statistician (PStat®), as well as a cognitive scientist focused on higher education curriculum design and evaluation. She is also an internationally recognized expert on ethical statistics and data science practice, having published two books, Ethical Practice of Statistics and Data Science and Ethical Reasoning for a Data- Centred World, in 2022. Dr. Tractenberg uses cognitive and educational sciences to help instructors maintain a learning focus in their teaching and assessing. In addition to ethical statistics and data science practice, she has also contributed to guidelines for ethical mathematical practice (US based) and particularly, on how to integrate ethical content into quantitative courses to promote ethical practice STEM-wide.
