Nick LaBerge
@nicklaberge.bsky.social
28 followers 18 following 13 posts
PhD Candidate at the University of Colorado Boulder Computational Social Science he/him
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Reposted by Nick LaBerge
danlarremore.bsky.social
Academics! Where do you prefer or hope to publish?

Have a few minute to tell us? My group at CU Boulder is surveying the publication preferences of academics in a pairwise comparison survey called Publish or Comparish.

tinyurl.com/PubPrefs

Thanks for considering & pls share with colleagues!
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nicklaberge.bsky.social
13/ To sum up:

- Hiring has had a greater impact on women's representation (2011-2020)
- Hiring is projected to be more impactful for future parity
- Yet women are more likely to leave faculty jobs at every career stage, limiting trends to parity

Read the article for all of the details!
Gendered hiring and attrition on the path to parity for academic faculty
Achieving gender parity among U.S. tenured and tenure-track faculty will require changes to hiring, which has substantially greater impacts on faculty gender representation than gendered differences i...
elifesciences.org
nicklaberge.bsky.social
12/ Another important limitation is that our study considers only faculty gender. Including other key variables like race and socioeconomic status will likely be crucial for comprehensive understanding of hiring and attrition dynamics, and impacts.
nicklaberge.bsky.social
11/ One important limitation is that this work treats all attritions equally. Ex: retirements are treated the same as pulls to industry. But reasons for leaving have been shown to correlate with gender (pushes vs. pulls, see work by @kspoon.bsky.social, bsky.app/profile/kspo...)
kspoon.bsky.social
1/ New paper! “Gender and retention patterns among U.S. faculty” w/ N Laberge KH Wapman @samzhang AC Morgan M Galesic BK Fosdick @danlarremore @aaronclauset: www.science.org/doi/10.1126/...
A systematic study of gendered rates & reasons for faculty attrition in US academia 🧵
nicklaberge.bsky.social
10/ Expanding projections across academic domains, we find:
🚀 Substantial changes to hiring are needed to boost repr. in most fields
👴🏻 Waiting for retirement-driven turnover won't fix gender disparity
🏁 Many fields won’t reach parity if gendered differences in attrition persist
nicklaberge.bsky.social
9/ In the Natural Sciences, we project that hiring more women would boost overall representation of women the most, while addressing attrition disparities in isolation would lead to smaller increases in representation.
nicklaberge.bsky.social
8/ We model faculty hiring and attrition by setting attrition risks (gendered or neutral) and the fraction of women among hires (maintained or increased).

Here's an example of projections for the Natural Sciences from 2020 onward for 5 scenarios:
nicklaberge.bsky.social
7/ How much will the gender representation gap shrink in the next 40 years:
- when the older generations of faculty retire?
- if gendered differences in attrition are eliminated?
- or if more women are hired as faculty?
nicklaberge.bsky.social
6/ In other words, all-cause attrition is a mixed bag: Early and mid-career attrition differences cause a disproportionate loss of women faculty, even as late-career retirements of disproportionately men cause women’s representation to increase overall.
nicklaberge.bsky.social
5/ All-cause attrition combines: (i) pre-retirement attrition and (ii) retirements.

We show that pre-retirement attrition is gendered–women are more likely to leave faculty jobs than men at every career stage.

Yet all-cause attrition increases women's representation due to retirements.
nicklaberge.bsky.social
4/ Analyzing faculty records (N=1,768,118 person-years) across 111 fields, 2011-2020, we find:

🔍 Hiring increased women’s representation in 95% of fields
🔍 Attrition (including retirements) increased women’s repr. in 74% of fields

🚀Hiring was the main driver in 87% of fields.
nicklaberge.bsky.social
3/ Faculty gender diversity changes via 2 processes: hiring & attrition. How important has each process been?

The answer matters—interventions differ!—yet can't be learned from representation stats alone.

Here, we use high-res data to separate & quantify the 2 effects over 10 yrs.
nicklaberge.bsky.social
2/ Even though women
🎓 have received more than 50% of BAs since 1981 and
👩‍🎓 earned 46% of U.S. PhDs in 2021 (🔬38% in STEM, 📚59% in non-STEM)
👩‍🏫 women comprise _only 36%_ of tenure-track faculty
nicklaberge.bsky.social
1/ I’m excited to share our article "Gendered hiring and attrition on the path to parity for academic faculty" with Hunter Wapman @aaronclauset.bsky.social @danlarremore.bsky.social , now published @elife.bsky.social : elifesciences.org/articles/93755