📢 It's official: "Systemic racial disparities in funding rates at the National Science Foundation" has completed peer review and is now out in @eLife with @sara_kahanamoku @ClumpedIsotopes @algoriphagus @vernon_morris & others

🔗➡️doi.org/10.7554/eLife.…

Here's a brief 🧵 . 👇 We examined *publicly available* data on >1 million proposals & found that for 20 yrs:
➡️ proposals by white PIs have been funded above avg. rates
➡️ proposals by most BIPOC PIs have been funded below avg. rates
➡️ the relative funding rate for white PIs has been *increasing* 📈

Me: “I think it’s significant that this project was initiated by early-career scientists. It speaks to the prevailing culture in academia that allows the status quo to be perpetuated.

We felt that if we didn’t do the analysis, nobody else would.”

science.org/content/articl… Feels a little cringe to quote myself, but I admit, I really needed to get that one out of my system.

I'm ready to have this convo, anytime. 👇

https://twitter.com/NeedhiBhalla/status/1551637150604660742?s=20&t=cj82BNhls4XVN72aIr1Ukg

Hey STEM community,

Please read ➡️ osf.io/xb57u/

Preprint by me, @sara_kahanamoku, @ClumpedIsotopes, @algoriphagus, @vernon_morris & others

Unlike other papers, I am *not* delighted to tell you about this.

It's about how we choose what science is #NSFfunded.🧵1/10 Each year, NSF gets thousands of proposals. They issue *publicly available* annual reports on funding rates broken down by PI race: nsf.gov/nsb/publicatio…

Report contents evolve each yr, so data gaps exist. But data on 1 million+ proposals from 1996–2019 reveal striking trends.