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Along the Vein of How is Data Science Different From Cross-Validated?

How is Data Science different to Computational Science?

I am feeling it sits somewhere between Computational Science and Cross Validated. But I would like a nice clear answer, so that I can clearly tell anyone who asked me which site to post on.

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  • $\begingroup$ Not attempting to give a full answer since I'm not that familiar with the other site but a quick look suggests there's not a whole lot of overlap. An analogy: we have questions about what road to take from A to B, they have questions about what car to drive. $\endgroup$ Commented Jul 24, 2014 at 19:23

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TL;DR: data science - focus is on data, computational science - focus is on computation.

While it sounds like words' play, I think that in this case the emphasis of each field is represented directly by the respective adjective. If you think about semantics, it's exactly that - the focus of data science is data aspect of application of statistics and computer science to corresponding problems, while, for computational science, the focus is most likely algorithmic aspects of the above-mentioned application.

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