Here's just a reminder that if you are a computational cognitive modeller and also part of any minority in the field, join this club full of amazing people: http://compcog.science/ And if you organize conferences / workshops / etc: It's also a good source for possible speakers!
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Sitting in a GDPR info meeting right now and eg ethnicity is sensitive, so you are imo right. (will read through the thread later)
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Would like to learn more though! One thing that is worrying is that some additions to the list were not done so by the people themselves (we have to assume this true as it's open to anybody adding anybody, we don't have accounts or emails attached).
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If the only solution is to start again, delete the list in a sense and tweet asking for a do-over asking for characteristics and email addresses, maybe it's worth looking into?
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Another option is to return to just being "women in modeling", perhaps? But the binarism of that kind of upsets me. But it would reduce the worry that we are treating all minorities in modeling the same? FWIW I'm in every minority mentioned.
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I've looked in/around similar issues myself re: lists of people for a while. If I were to do something like this now, I would (i) consult with a lawyer specifically re GDPR (ii) start over again, and only include people who self-nominate/volunteer to be on it >
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This is good advice -- I really think self-vol is crucial for many reasons. One of them being tied to identity-- I've been really uncomfortable when people slap me onto lists of "women in CL/AI/etc." Despite their good intentions
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Absolutely. I only have one public Twitter list, and I only add people to it when I have their permission to do so, for specifically this reason.
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FWIW I can take it down if you two feel this way, but I'm a bit worried as people use it to find others and offer them jobs.
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As a non-queer man (allocishet) I don't have any valid take on this, IMHO - it's only that when talking with others about lists of this kind (e.g. around bioinformatics) that what I describe seems to be a consensus-ish around the opinions I've heard from others.
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