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Isabel R. Fulcher; Donald Fejfar; Nichole Kulikowski; Jean-Claude Mugunga; Michael Law; Bethany Hedt-Gauthier – Journal of Statistics and Data Science Education, 2024
During the COVID-19 pandemic, a group of health program implementors and research analysts across seven low- and middle-income countries (LMICs) alongside Boston-based collaborators convened to implement data-driven approaches for public health response. An intensive statistics and data science training short course was developed to ensure that…
Descriptors: Capacity Building, COVID-19, Pandemics, Public Health
MacKay, Jon – Journal of Statistics and Data Science Education, 2022
Students need to know how to discern patterns and make decisions using visual information in our modern economy. However, there are few sources of real-world information available to instructors that give students access to visualizations to help develop their skills in interpreting complex situations using diverse data sources. This article…
Descriptors: Pandemics, COVID-19, Visual Aids, Data Analysis
Barb Bennie; Richard A. Erickson – Journal of Statistics and Data Science Education, 2024
Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Earth Science
Sara Colando; Johanna Hardin – Journal of Statistics and Data Science Education, 2024
There is wide agreement that ethical considerations are a valuable aspect of a data science curriculum, and to that end, many data science programs offer courses in data science ethics. There are not always, however, explicit connections between data science ethics and the centuries-old work on ethics within the discipline of philosophy. Here, we…
Descriptors: Philosophy, Data Science, Ethical Instruction, Ethics
Beckman, Matthew D.; Çetinkaya-Rundel, Mine; Horton, Nicholas J.; Rundel, Colin W.; Sullivan, Adam J.; Tackett, Maria – Journal of Statistics and Data Science Education, 2021
A version control system records changes to a file or set of files over time so that changes can be tracked and specific versions of a file can be recalled later. As such, it is an essential element of a reproducible workflow that deserves due consideration among the learning objectives of statistics courses. This article describes experiences and…
Descriptors: Statistics Education, Data Analysis, Teaching Methods, Graduate Students
Boenig-Liptsin, Margarita; Tanweer, Anissa; Edmundson, Ari – Journal of Statistics and Data Science Education, 2022
This article presents the Data Science Ethos Lifecycle, a tool for engaging responsible workflow developed by an interdisciplinary team of social scientists and data scientists working with the Academic Data Science Alliance. The tool uses a data science lifecycle framework to engage data science students and practitioners with the ethical…
Descriptors: Ethics, Statistics Education, Feminism, Interdisciplinary Approach