academic cultures
May. 8th, 2010 08:35 amI'm soon going to start my PhD in Statistics, but I usually still think of myself as a machine learning person (or as a computational statistician). My department (Columbia) is a modern and open-minded one, and has hired faculty whose PhDs are not in Statistics.
But it seems like, at some point, I will have to make a decision about what research community I want to belong to. Perhaps most importantly, whether to publish in conferences (the CS model), or only in journals (the Stats model). What should I be taking into account when making this decision? Should I simply follow the faculty who I most want to work with?
But it seems like, at some point, I will have to make a decision about what research community I want to belong to. Perhaps most importantly, whether to publish in conferences (the CS model), or only in journals (the Stats model). What should I be taking into account when making this decision? Should I simply follow the faculty who I most want to work with?
(no subject)
Date: 2010-05-08 04:43 pm (UTC)(no subject)
Date: 2010-05-08 05:32 pm (UTC)maybe i'm not getting something here. it sounds like you're expecting a lot more autonomy than most grad students i know have, though.
(no subject)
Date: 2010-05-08 05:35 pm (UTC)(no subject)
Date: 2010-05-08 05:46 pm (UTC)(no subject)
Date: 2010-05-08 06:08 pm (UTC)Most students in Stats don't think about the publication model, because they are not considering faculty jobs in machine learning and assume that they will be in Stats forever. (I do not know where I will want to be)
(no subject)
Date: 2010-05-10 01:27 am (UTC)This is actually one of the things CMU CS prides itself on -- you work with whomever you work with best, essentially, and it shouldn't be tied to funding.
(no subject)
Date: 2010-05-10 02:15 am (UTC)But there is a constraint here, which you might be forgetting: grant money must be spent, and (in many cases) deliverables must be delivered.
(As a result of this), departments have to make sure that there is a correlation among faculty members between number of students (including postdocs and other staff) and grant money.
Such a correlation can be explained (or implemented) by:
* free students having similar taste to NSF folks
* decision of whom to admit: better-funded subfields admit more students
* pressure to work for grants that need to be filled, after admissions
I imagine all 3 apply in all CS departments in the USA.
I do not have evidence to back up any of this. I'm only speaking from what I think is common sense.
(no subject)
Date: 2010-05-08 05:36 pm (UTC)awareness is the first step
Date: 2010-05-09 11:56 am (UTC)I think that it's good that you're aware of this. But I don't know if there's anything more concrete you should be doing at this point in time, except to continue to stay informed about the workings and research directions of both communities (which you can do even if your advisor does not).
Re: awareness is the first step
Date: 2010-05-10 02:26 am (UTC)(no subject)
Date: 2010-05-10 07:31 am (UTC)Perhaps it would be worth talking with people familiar with hiring trends in each area and asking about how publications via the other model are seen?