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A Thematic Understanding of the Current Landscape of Academic Statistical and Data Science Consulting Units
Published
Author(s)
Emily Griffith, Julia Sharp, Sarah Peskoe, Alexandra Hanlon, Jennifer Van Mullekom, Bruce Craig
Abstract
The delivery of academic statistical collaboration resources can vary among types of institutions and across time. In particular, this variation might occur in the management of infrastructure and the business model, the staffing model, and opportunities for staff development. In this manuscript, we present examples of these three themes in modern academic statistical collaboration units and describe key advantages and challenges.
Griffith, E.
, Sharp, J.
, Peskoe, S.
, Hanlon, A.
, Van Mullekom, J.
and Craig, B.
(2024),
A Thematic Understanding of the Current Landscape of Academic Statistical and Data Science Consulting Units, Stat, [online], https://doi.org/10.1002/sta4.718, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957714
(Accessed October 6, 2025)