The file-drawer problem (unpublished negative findings) is a major challenge to transparency goals. "Registered reports" provide preregistration plus review & commentary; they increase transparency by ensuring publication regardless of result. /6 https://cos.io/rr/
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This is super interesting. I believe very deeply in diversity and inclusion and have been working for these goals 1) through
@cogsci_soc, 2) through departmental committee, 3) through my REU program at Stanford, but have tended to differentiate this goal from open science. /! -
in part because I think it's useful to think about the philosophical core of open science as being verifiability/transparency (as in the thread). /2
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Who will you make it open for if not everybody is welcome? There's a reason under that umbrella above it includes equity, inclusivity, diversity. The spectacular failure of open source at being open to women in tech, for example, is a good lesson IMHO.
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As I said to
@melissaekline: I think diversity and inclusion are critical prior values that are not yoked to the umbrella of scientific verification. We should value D/I *and* open science, not D/I *because* open science. D/I is important even when we're not doing science at all. -
This is really just a semantic disagreement I think (or hope). Our values are aligned, I just try to pursue D/I initiatives in open science because I think they're important everywhere, not in OS specifically.
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I think it's important in many spaces too, but I see specific issues with(in) open science and I know the "open" in open science was put there for various reasons not just to mean one meaning of "open".

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Well we should certainly address D/I issues even more in communities where there are problems around representation, so in that sense I definitely agree!
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I think we need to avoid arguments that imply idealistic (platonic) notions of science. Empirical data is not enough to form a corpus of scientific knowledge, it requires theoretic analysis, and both are distilled by human beings.
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