The academic collaborative statistician: Research, training and evaluation

被引：7

作者：

Griffith, Emily H. H. ^{[1
]}

Sharp, Julia L. L. ^{[2
]}

Bridges, William C. C. ^{[3
]}

Craig, Bruce A. A. ^{[4
]}

Hanford, Kathryn J. J. ^{[5
]}

Stevens, John R. R. ^{[6
]}

机构：

[1] North Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA

[2] Colorado State Univ, Dept Stat, Ft Collins, CO 80523 USA

[3] Clemson Univ, Sch Math & Stat Sci, Clemson, SC 29634 USA

[4] Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA

[5] Univ Nebraska Lincoln, Dept Stat, Lincoln, NE 68583 USA

[6] Utah State Univ, Dept Math & Stat, Logan, UT 84322 USA

来源：

STAT | 2022年 / 11卷 / 01期

关键词：

collaborative statistician; evaluation; training; UNIVERSITY; PROMOTION;

D O I：

10.1002/sta4.483

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Statisticians with a primary collaborative position at their academic institution have a unique role in combining domain science and statistical research and training and mentoring graduate students. As a result, it is important that their responsibilities be clearly understood by both the collaborative statisticians and their departments. In this paper, we discuss various steps that these statisticians can take to be successful and to be appropriately evaluated for their work. These steps are even more important now because a combination of new technologies, quantitative experts in other fields and the growth of data science in general seems to have put the field of Statistics at a crossroads. For the discipline to continue to flourish, we argue that it is critical that the role of the collaborative statistician be maintained and valued in statistics departments.

引用

页数：7

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