Note: learning outcome source is Design Options for the Future Doctorate (2018)
Analytical skills (e.g., quantitative reasoning, critical thinking, creative thinking, problem solving)
Recommended curricula
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Data Science
Recommended milestones
- [ ] Publish a paper demonstrating skills in challenging quantitative analysis
- [ ] Publish a paper demonstrating ability to make strong causal inferences
Discipline-specific competence (e.g., discipline knowledge, specific technical skills, discipline-specific attitudes)
Recommended milestones
- [ ] Publish a paper in a good journal for the field (i.e., impact factor > 4 for most fields; education 5 or 5* journal)
- [ ] Tutor in the subject you'd like to work in
Interpersonal capabilities (e.g., influencing, empathising, communication, networking, teamwork)
Recommended curricula
Introduction to Public Speaking
Writing in the Sciences
Recommended reading / watching
Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M., & Hullman, J. (2021). The Science of Visual Data Communication: What Works. Psychological Science in the Public Interest: A Journal of the American Psychological Society, 22(3), 110–161. https://doi.org/10.1177/15291006211051956
Franconeri et al. 2021 - The Science of Visual Data Communication - What Works.pdf
Recommended milestones