Ethics in ecological forecasting: four case-based teaching modules

Working with ecological data often involves ethical considerations, particularly when data are applied to address societal needs. However, data science ethics are rarely included as part of undergraduate and graduate training programs. Here, we present four modules for teaching ethics in data science, with real-world case studies related to ecological forecasting.  See the module topics in the description below.

The material was originally published in Teaching Issues and Experiments in Ecology (TIEE), Vol 19, Practice #13. Dec 2023.
https://tiee.esa.org/vol/v19/issues/case_studies/lewis/abstract.html

In addition to having this material in TIEE, we are sharing these resources in QUBES to expand the scope of potential users.  TIEE approved us sharing the material in both places. 
Note that TIEE does not provide DOIs for the published materials, but QUBES does.

We include both pdfs and word documents for the essay assignments, class handouts, and pre-reading materials. The Full Article Text provides the student-active approaches and cognitive skills, the case studies, the background materials, and instructions for the instructors and the students for each of the four modules.

处理生态数据时，常常需考虑伦理问题，尤其是当数据被应用于满足社会需求之时。然而，数据科学伦理学往往未被纳入本科及研究生教育项目中。在此，我们推出四个模块，旨在教授数据科学伦理学，并附带与生态预测相关的实际案例研究。以下为各模块主题的详细描述。

该材料最初发表于《教学问题与生态学实验》（TIEE），第19卷，实践第13号。2023年12月。

https://tiee.esa.org/vol/v19/issues/case_studies/lewis/abstract.html

除了在TIEE发布此材料外，我们还将其分享至QUBES，以扩大潜在用户群体。TIEE已批准我们在两个平台共享该材料。

请注意，TIEE不提供已发布材料的DOI编号，而QUBES则提供。

我们包含论文作业、课堂讲义和预读材料的双重PDF和Word文档。全文提供学生积极参与的方法和认知技能、案例研究、背景资料，以及四个模块中针对教师和学生的指导说明。