Documenting and Evaluating Data Science Contributions in Academic Promotion in Departments of Statistics and Biostatistics
Lance A. Waller
The American Statistician, 2018, vol. 72, issue 1, 11-19
Abstract:
The dynamic intersection of the field of Data Science with the established academic communities of Statistics and Biostatistics continues to generate lively debate, often with the two fields playing the role of an upstart (but brilliant), tech-savvy prodigy and an established (but brilliant), curmudgeonly expert, respectively. Like any emerging discipline, Data Science brings new perspectives and new tools to address new questions requiring new perspectives on traditionally established concepts. We explore a specific component of this discussion, namely the documentation and evaluation of Data Science-related research, teaching, and service contributions for faculty members seeking promotion and tenure within traditional departments of Statistics and Biostatistics. We focus on three perspectives: the department chair nominating a candidate for promotion, the junior faculty member going up for promotion, and the senior faculty members evaluating the promotion package. We contrast conservative, strategic, and iconoclastic approaches to promotion based on accomplishments in data science.
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00031305.2017.1375988 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:amstat:v:72:y:2018:i:1:p:11-19
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTAS20
DOI: 10.1080/00031305.2017.1375988
Access Statistics for this article
The American Statistician is currently edited by Eric Sampson
More articles in The American Statistician from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().