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Choosing good problems is essential for being a good scientist. But what is a good problem, and how do you choose one? The subject is not usually discussed explicitly within our profession. Scientists are expected to be smart enough to figure it out on their own and through the observation of their teachers. This lack of explicit discussion leaves a vacuum that can lead to approaches such as choosing problems that can give results that merit publication in valued journals, resulting in a job and tenure.
There are 4 reviews
This article is a gem, a gift.
Every phrase, every section, filled me with pure joy. It is the most straight-to-the-heart (or to the "faint inner voice") paper I've ever read. It takes courage to publicly claim "don't go for the easy and uninteresting" (nor for the hard and uninteresting, by the way), "take your time" (the three-month rule for new students/post-docs is what I've always tried to do, in an unconscious way), "hear your inner voice" (and your recurrent ideas, instead of what others consider interesting), "expect the unexpected" (the author's "cloud" meets Heraclitus), especially in a context where research is driven, time shrinks and knowledge (as well as students, papers, etc.) becomes a commodity.
A fifteen-minute break that may change your life, just by reading what you already almost knew but were afraid to follow.
Thank you, Uri.
- 2009-10-30 13:16:54
Nice advice for the researchers.
- 2010-01-07 07:17:00
Good article for aspiring scientists. I especially like the feasibility-interest diagram to rate and categorize projects.
- 2010-02-01 15:52:52
- 2010-02-04 11:48:37
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