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Hunter Wapman Profile
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
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@hneutr
Hunter Wapman
2 years
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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@hneutr
Hunter Wapman
6 months
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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@hneutr
Hunter Wapman
2 years
RT @SZapperi: America’s top universities reap the benefit of Italian-trained scientists Written with @CAMLaPorta (thanks to @aaronclauset a…
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@hneutr
Hunter Wapman
2 years
RT @laberge_nick: 1/ New paper! “Subfield Prestige and Gender Inequality among U.S. Computing Faculty” with @hneutr…
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@hneutr
Hunter Wapman
2 years
RT @_szhang: 1/ Excited to share our new paper "Labor advantages drive the greater productivity of faculty at elite universities" in @Scien…
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@hneutr
Hunter Wapman
2 years
@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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@hneutr
Hunter Wapman
2 years
@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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@hneutr
Hunter Wapman
2 years
@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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@hneutr
Hunter Wapman
2 years
@meharpist @Nature The paper was truly improved by your feedback — thank you!!
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@hneutr
Hunter Wapman
2 years
@earth2christine This made me laugh, thank you.
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@hneutr
Hunter Wapman
2 years
@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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@hneutr
Hunter Wapman
2 years
@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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@hneutr
Hunter Wapman
2 years
@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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@hneutr
Hunter Wapman
2 years
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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