the reality about specialization
Sep. 14th, 2010 04:01 pmInterests can be divided into "gee-whiz" interests (i.e. hobbies, etc) and "serious research interests" (areas where I'm trying to make an impact in the near future). As aspiring world-experts-in-something, PhD students have no time for hobbies, or so I'm told. The idea is that the former type of interest is important too, but only insofar as it's needed to keep us sufficiently entertained to be able to focus on the one-thing-that-people-will-associate-with-my-name-for-years-to-come.
To keep this vivid in my mind, I made these pictures:

Local expertise

Global expertise
Suppose red and light-blue are competing for a position in a department populated with the other colors.
As we can see, red is well-rounded, and has lots of knowledge that his/her colleagues don't have, which suggests that he/she could be an excellent collaborator. But light-blue has clearly made his/her name in one field.
Who gets the job? Who gets the grants?
Light blue does!
Apparently this is true even if his/her specialty is a very theoretical area. Red could potentially get lucky if the hiring committee isn't good at assessing world expertise, because it is outside of their areas and they didn't do a good job of eliciting world expertise, or don't care (e.g. because it's for a teaching position).
---
UPDATE: and then we read bios like this:
talk about a mixed message!
To keep this vivid in my mind, I made these pictures:
Local expertise
Global expertise
Suppose red and light-blue are competing for a position in a department populated with the other colors.
As we can see, red is well-rounded, and has lots of knowledge that his/her colleagues don't have, which suggests that he/she could be an excellent collaborator. But light-blue has clearly made his/her name in one field.
Who gets the job? Who gets the grants?
Light blue does!
Apparently this is true even if his/her specialty is a very theoretical area. Red could potentially get lucky if the hiring committee isn't good at assessing world expertise, because it is outside of their areas and they didn't do a good job of eliciting world expertise, or don't care (e.g. because it's for a teaching position).
---
UPDATE: and then we read bios like this:
<< The research contributions of Professor Meng cover almost all areas of statistics, including statistical issues in astronomy and astrophysics, modeling and imputation in health and medical studies, and elegant mathematical statistics. >>
talk about a mixed message!