JOURNAL ARTICLE
Data Science Literacy: Towards a Philosophy of Accessible and Adaptable Data Science Skill Development in Public Administration Programs
- Title:
- Data Science Literacy: Towards a Philosophy of Accessible and Adaptable Data Science Skill Development in Public Administration Programs
- Authors:
- Overton, Michael Kleinschmit, Stephen
- Year:
- 2022
- Output Type:
- Journal Article
- Venue:
- Teaching Public Administration
- Venue Type:
- Peer-reviewed journal
- Status:
- Published
- Theme:
- Data Science and AI
- Sub-theme:
- Data Science
- Shared Trajectory:
- Data Science Literacy
- Abstract:
- Public administration is struggling to contend with a substantial shift in practice fueled by the accelerating adoption of information technology. New skills, competencies and pedagogies are required by the field to help overcome the data-skills gap. As a means to address these deficiencies, we introduce the Data Science Literacy Framework, a heuristic for incorporating data science principles into public administration programs. The framework suggests that data literacy is the dominant principle underlying a shift in professional practice, accentuated by an understanding of computational science, statistical methodology, and data-adjacent domain knowledge. A combination of new and existing skills meshed into public administration curriculums help implement these principles and advance public administration education.
- Topics:
- Data science literacy Pedagogy MPA curriculum
- DOI:
- https://doi.org/10.1177/01447394211004990
- Citations (OpenAlex):
- 29
- OpenAlex ID:
- W3147687177
- Full Citation:
- Overton, Michael and Stephen Kleinschmit. (2022). "Data Science Literacy: Towards a Philosophy of Accessible and Adaptable Data Science Skill Development in Public Administration Programs." Teaching Public Administration, 40 (3), 354-365. https://doi.org/10.1177/01447394211004990
Cite this work
Published
Reference
Overton, Michael; Kleinschmit, Stephen (2022). Data Science Literacy: Towards a Philosophy of Accessible and Adaptable Data Science Skill Development in Public Administration Programs. Teaching Public Administration.
@article{overton2022_data_science_literacy_to,
title = {Data Science Literacy: Towards a Philosophy of Accessible and Adaptable Data Science Skill Development in Public Administration Programs},
author = { Overton, Michael and Kleinschmit, Stephen },
year = {2022},
journal = {Teaching Public Administration},
doi = {10.1177/01447394211004990},
url = {https://www.michaeloverton.net/research/items/data_science_literacy_towards_a_philosophy_of_accessible_and.html}
}