Ten Short Papers Every Computational Scientist Should Read

This post originally appeared on the Software Carpentry website.

No, we don't have a list—not yet—but we'd like to. What short, readable papers or articles do you think every scientist doing computational work should read at some point in their career (preferably early in their career)? Paul Dubois' 2005 article in Computing in Science and Engineering on maintaining correctness in scientific programs is a favorite of mine; so is Evan Robinson's summary of research on the effects of overwork on productivity. (Actually, I think everyone should read Robinson's article, not just computational scientists...) What else should be on the list? To qualify, entries must be short (up to a few pages long), well written, of broad general interest, and have something important to say that's relevant to our target audience. Suggestions in the comments, please...

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