Narrowly focused on unequal treatment in healthcare, the Chargers, and early career scientists.
NIA F99/K00 Fellow
Current Postdoc @ JHU | PhD, Population Health Sciences, Duke | 🌲Dartmouth ‘21 |
michaeldgreen.phd
Views my own
Michael D. Green, PhD
Jay Battacharya speaking now at #ASHEcon2026 🧵
First addresses plight of early career researchers and growing age at first R01 grant award
Nowadays average is 44-45 years? Need to find a way to lower than and support early career scholars
Your newsletter is breaking through my slop summary, congrats! @brittanytrang.com
Second, there are drops including statistically significant drops in Black PIs and Black and Hispanic fellowship recipients from fiscal year 2024 to fiscal year 2025.
3/5
I’ve heard so much rhetoric about a “desire to support young scientists” but have not seen data that demonstrate substance behind those claims.
Especially in science, talk alone is cheap! You’ve gotta bring evidence to the table…
Kevin Griffith
Gave some comments for this story in @science.org about a study in JAMA that shows a devastating decrease in NIH fellowships awarded to Black and Hispanic scientists.
A lot of early career people
are having their future meddled with. Some groups unequally...
www.science.org/content/arti...
Nguyen et. al in @jama.com clearly document a sharp decrease in support for Hispanic and Black researchers at the beginning of their careers. This finding is in direct conflict with rhetoric we are hearing about the desire to support us at this pivotal moment.
jamanetwork.com/journals/jam...
Michael D. Green, PhD
Drop in those receiving grants and fellowships in 2025 shows impact of Trump administration rollbacks to diversity initiatives
This cross-sectional study assesses National Institutes of Health (NIH) data from fiscal years 2016-2025 comprising annual counts of principal investigators funded through research grants and fellowsh...
You can’t do research without money to buy equipment and pay staff. This is another one of those studies that helps everyone distinguish between signal v. noise.
You may HEAR that science is still a priority, but those claims don’t hold up to the data.
Michael D. Green, PhD
Michael D. Green, PhD
New WP, just in time for #ASHEcon26! What started off as a project to learn LLM use for text analysis turned accidentally into a paper about stigma.
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Michael D. Green, PhD
I cannot recommend highly enough this talk by @funsizeimmuninja.bsky.social, where she highlights the importance of communication training for scientists.
Examining weight stigma shows that the "obese" cutoff increases patient mortality. Analyses of diagnostic effort and clinical documentation point to stigma as a mechanism, from Manasvini Singh www.nber.org/papers/w35277
