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Hunter Wapman
@hneutr
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bad things are not good. words are rad. he/him. hne at sigmoid dot social
Boulder, CO
Joined August 2018
1/ New paper! with @_szhang @aaronclauset @DanLarremore. 🎓 We analyzed all 295K tenure-track faculty at US PhD-granting universities in 10,612 departments over 10 years to quantify hierarchy and dynamics in US faculty hiring and retention. 🦥 A summary:
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RT @laberge_nick: 1/ I’m excited to share our article "Gendered hiring and attrition on the path to parity for academic faculty" with @hneu…
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RT @SZapperi: America’s top universities reap the benefit of Italian-trained scientists Written with @CAMLaPorta (thanks to @aaronclauset a…
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RT @laberge_nick: 1/ New paper! “Subfield Prestige and Gender Inequality among U.S. Computing Faculty” with @hneutr…
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@ViromeHunter @_szhang @aaronclauset @DanLarremore Thank you for the kind words! We didn't look at race/ethnicity — we looked into it, but didn't have self-reported data and didn't feel the accuracy of the available tools was good enough to support analysis.
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@benmschmidt The solo links being removed was a bug that affected only the publicly released data, not the paper, and has been fixed — thank you for raising the issue!
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@benmschmidt Really appreciate the scrutiny here — I looked into it and found a bug in the export process that resulted in edges being dropped when either no men or no women had moved from 1 institution to another. This wasn't an issue in the paper, and the data has been updated!
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@shermandorn @_szhang @aaronclauset @DanLarremore We did check a subset of the data and found it quite reliable for information about degrees and employment, which was all that our study relied on!
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@omearabrian Unfortunately we do not — there was some talk about doing this with ProQuest at one point, but the coverage of the faculty in this dataset was poor enough that we decided against it for this analysis.
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@bpedigod Thank you!! WR among new hires isn't plotted here, so you're not missing anything — there's more about this in the paper, but to determine whether WR among new hires was increasing, we fit linear regressions and found their slopes were not ss. Happy to answer anything else!
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Finally, this paper was made possible thanks to data provided by @aarcresearch. While they had no part in designing our research, they were extremely easy to work with. Big thanks! 🙏 25/25
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