Notes on Evaluation of Academic Statisticians


This file contains notes from a session on Evaluation and Tenure,
held at the PR/ISM meeting for isolated statisticians, Chaska, MN Oct 95.
Some of the notes here relate primarily to statisticians who are 
housed in mathematics departments.  

(1) Relationships with Mathematicians

MAA Guidelines for Evaluating Programs in the Mathematical Sciences
   Not approved by ASA.  Major problems
   Don Bentley is liaison.  Working for change.
   Includes guidelines on evaluating faculty
   New guidelines will appear in Focus, Amstat News (Don & George Cobb)

Suggestions:
* Suggest departments write to:
     	MAA/ASA joint committee (Cobb chair)
	     SLAW
	     David Moore (won MAA top teaching award)


(2) Special Difficulties for Statisticians

Evaluation by Mathematicians, who may not understand the differences
between Statistics and Mathematics.
Starting major consulting project takes time to learn new field.
Transition to teaching in Math Dept. takes more time than for math PhD.
Time spend consulting on student projects.
Publication delays long.
Acceptance rates low.

Suggestions:
* CBMS Report (strategic plan?) discuss issues like consulting taking
  more time.
   Don Bentley will email a reference
* Suggest departments write to:  
     MAA/ASA joint committee
     SLAW
     David Moore
* Obtain copy of forthcoming revised MAA Guidelines for evaluation.


(3) 	How to get credit for ...

a) Consulting, especially:
   Technical Reports (unpublished work in industry)
   Consulting work with proprietary info
* Keep record
* Get letters from people you worked with

b) Lab notes, instructional material
*	Send out for review
*	Put on Web page, or JSE

c) Consulting on grants
*	Be listed as principal investigator or at least consulting
	statistician
	

(4) Grants

* Get info from stis.nsf.gov (Web or ftp)
* At MAA meeting, stop by NSF booth
* Should count like peer-reviewed paper, even if accepted without funding
* Be sure to be listed as PI or at least statistical consultant


(5) Advantages for Statisticians

Our work is interdisciplinary
	relevant
	involve students (especially consulting)
	can be understood


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