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by ericmay
2133 days ago
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> Don't you think that, even from a strictly scientific perspective, more exchange of knowledge between computer science and social sciences would be good? Hmm. Not necessarily. If you're speaking strictly from the point of view of sharing knowledge, well, there's nothing really stopping that now. But if we're talking about moving computer science departments into social science departments under the pretext of sharing knowledge, I'm not sure that's necessarily a good thing. It might be, but I'm not sure. What would the effect be of putting physics in the social science departments? Or mechanical engineering? I think if you can answer that question, you can answer it for computer science, and by extension you could just say you could introduce all of these programs into the social science departments to share knowledge... in which case you could just have a university. |
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> Despite the title of this essay, I'm not actually advocating for the institutionalized transfer of computing departments into social science faculties—such a move is no doubt highly impractical and implausible—but rather for a change in mentality, a recognition that the field now and in the future will have more affinities with the concerns of the academic social sciences, and fewer with the natural sciences or engineering.
It's true that nothing is stopping the exchange of knowledge now, but the minor, often bad ethics course in CS doesn't give students the impression that social sciences is a field they can and should learn from. That's why students should be sensitized as to which problems they may face with the software they write, which are directly related to and possibly already examined by social science.
In my opinion, this would be similar to the statistics courses I had in my CS studies: Scratch the surface enough to get a feeling for what's realistically correctly solvable and implementable by a programmer with no deep statistical knowledge. That way, no time is wasted with half-correct implementations caused by not knowing that there's a deeper, complex statistical problem underneath.