1/ We can't wait for the @NSERC_CRSNG fellowship stats release to start this👇 discussion:

In 2018, 2019, & 2020, PDF success rates for Ecology & Evolution were 30%, 37%, & 26%, respectively.

In 2021, they are <20% and might* be as low as ~8%.😱

But COVID, right? No. A thread. https://twitter.com/AllomeDNA/status/1357478372364935169
6/ This trend continued through 2020 (see #1) 🎉. But how much of the improvement was real ($) vs. artificial (rules)?

For the 2021 competition, NSERC completely removed the limit on the number of times one can apply. This is how it should be (see #3). HOWEVER...
7/ Given that the eligibility window for a PDF is ~3 years (final year of PhD + 2), one would predict that this rule change TRIPLES the number of applicants (not even including those with leave extensions).

Indeed, for E&E at least:

2020: 31 applicants
2021: 90 applicants = 3x
8/ If* the number of fellowships is stable, this puts us at an 8% success rate. Again, we know from word-of-mouth and forums that it's at least <20% for E&E. We haven't seen rates this low for many years.

*see #2
9/ Open Qs:

How much of the change in success rates is real ($) and how much is due to changing eligibility rules?

Depending on this, what are the consequences of such low PDF funding rates on the Canadian research environment?

The 🇨🇦 population and # PhDs are always 📈.
10/ Open Qs (cont'd):

How long can we afford to wait to find out if the low success rates this year are anomalous? Yr-to-yr variability makes it difficult to detect a hint of trend w/o >3-5 years data. That's >3-5 cohorts potentially disproportionately leaving academia &/or E&E.
11/ Unfortunately, underrepresented groups tend to be hardest hit by employment gaps and financial instability, and diversity tends to suffer when fewer opportunities are available. If you're aware of stats on this re. NSERC, please share. Transparent data on this is needed. #EDI
12/ FYI there is often* a gender bias in success rates. For E&E:

2019: 3x⬆️ success rate for men (57%!) compared to women (21%). 0% for nonbinary/unknown individuals

2020: 2x⬆️ higher success rate for men (38%) compared to women (19%). NA for nonbinary/unknown

We need better.
13/ Given all of this year-to-year variability in success rates + narrow eligibility windows, it's important not to judge ECRs based on whether they got PDFs (or any other one thing for that matter). There are MANY excellent researchers and ultimately A LOT of luck is involved.
14/ There's also this.. https://twitter.com/LucyRodina/status/1357387707643740161?s=20
15/ This 🧵 was motivated by my 💔 over seeing my brilliant early career colleagues getting shafted by this apparent stroke of bad luck. The 1st yrs post-PhD are critical for a scientist's career. Not just in academia. Postdocs show independence & provide time to publish PhD work
16/ So I wanted to start a conversation to learn more and try to understand whether this signals a major problem for 🇨🇦 science or just a sad day for many ECRs. I fear the former. Input most welcome!

@NSERC_CRSNG @ChiefSciCan #AcademicChatter #AcademicTwitter #PhDchat
You can follow @rebekahoomen.
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