Data Science Education for Residents, Researchers, and Students in Psychiatry and Psychology: Program Development and Evaluation Study
This study illustrates the effectiveness of a tailored data science workshop for trainees in psychiatry and psychology, focusing on applying NLP techniques for suicide prevention research. The workshop significantly enhanced participants' confidence in conducting data science research. Future workshops will cover additional topics of interest, such as working with large language models, thematic analysis, diverse datasets, and multifaceted outcomes. This includes examining how participants' learning impacts their practice and research, as well as assessing knowledge and skills beyond self-reported confidence through methods such as case studies for deeper insights.
Authors
- Amber Calloway
- Megan Reilly (ORCID: https://orcid.org/0000-0001-8746-3224)
- Uğurcan Vurgun (ORCID: https://orcid.org/0000-0001-6021-4316)
- Emily Schriver
- Gregory K Brown
- David Mandell
- Michael Steinberg
- Esha Patel
- Robert Gallop
- Maria A Oquendo
- Graydon Neill
- Hayoung K Donnelly
- Sy Hwang
Institutions
- Penn Center for AIDS Research (US)
- University of Pennsylvania Health System (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2026-01-16
- DOI
- https://doi.org/10.2196/75125
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00