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KS
Katie Spoon
@kspoon.bsky.social
PhD student in Computer Science & MA student in Education CU Boulder | NSF GRFP | studying inequality in social systems and higher education | she/her | katiespoon.github.io/
254 followers37 following26 posts
KSkspoon.bsky.social

3/ We answer such questions at scale, with 1) census-level U.S. faculty employment data [ht @aarcresearch] to estimate “all-cause” gendered attrition rates across career ages & fields, and 2) large-scale multi-field survey data to elucidate the gendered reasons that faculty leave

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KSkspoon.bsky.social

4/ First, at every career age, we find that women are more likely to leave than men 👉 gender parity at hiring won’t persist. These empirical rates imply a hypothetical 50-50 cohort would fall to 40% women over 35 yrs — both hiring and retention are critical for achieving parity.

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SKstatstas.bsky.social

Is the employment census the Survey of Earned Doctorates (ncses.nsf.gov/surveys/earn...)? Or did you build it yourself?

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KS
Katie Spoon
@kspoon.bsky.social
PhD student in Computer Science & MA student in Education CU Boulder | NSF GRFP | studying inequality in social systems and higher education | she/her | katiespoon.github.io/
254 followers37 following26 posts