doesn't protect us from experiencing bias. So I don't get why defaulting to the status quo is preferable; it will be just as exhausting.
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Replying to @CandiceMorey @Julie_B92 and
I don't avoid open science or want to default to status quo. All my code is open, all my data is open, I have preprints etc. I just care.
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Replying to @o_guest @CandiceMorey and
I want my community, if it even accepts me as a member, to be better than old system in multiple ways.
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Replying to @o_guest @Julie_B92 and
Absolutely agreed. All I want to add is defaulting to an already biased system on the grounds that OS is so biased won't improve anything.
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Replying to @CandiceMorey @o_guest and
But that's not what we explained we were doing. Status quo isn't great but it's better than amplifying existing biases
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Replying to @Julie_B92 @o_guest and
We've been discussing whether reviews should be anonymous and/or open. I see the point here. Open Science encompasses a lot more tho >>>
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Replying to @CandiceMorey @Julie_B92 and
If there are arguments why the main OS stuff (sharing data & code & pre-reg hypotheses) amplify biases plz point me to it. I want to know.
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Replying to @CandiceMorey @Julie_B92 and
Well for example the movement to use big data to justify racist hypotheses?
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Replying to @DaniRabaiotti @CandiceMorey and
There needs to be things in place to challenge and prevent that.
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Replying to @DaniRabaiotti @Julie_B92 and
Goes both ways of course. If owners of big data sets are making sexist and racist claims, opening the data enables others to refute.
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Sure, but some code of ethics, like we have ethics boards would be great. No big data Kanazawa wannabes would be great. 
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