Kris Willis

@kawillis.bsky.social

Systems biologist, data scientist, policy wonk, runner. Former NIH-funded investigator, former NIH program official. Founder, Woodley Park Institute. Writing about understanding and accelerating scientific progress at https://theprogressbarwpi.org

In writing about our work predicting breakthroughs I’ve often emphasized older discoveries, for the simple reason that they’ve had longer to be recognized. But we’ve made forward looking predictions too. One is for a major advance in understanding cachexia/sarcopenia. By 2027, if past trends hold.

Nature@nature.com · 2w ago

Scientists are getting closer to understanding the wasting and fatigue that often accompanies cancer go.nature.com/4wjEQjb

Over … more than 3 years and seven NIH submissions, in which I presented increasingly substantive preliminary data, I received seven grant proposal rejections, some of which included reviews with scores as disparate as 2 (nearly perfect) and 8 (nearly meritless). www.cell.com/trends/endoc...

Nordic track: NIH dysfunction and my Helsinki recruitment

National Institutes of Health aims to prioritize groundbreaking work that challenges existing views with rigor and reproducibility, and shows potential for translation. Increasingly, however, reviewer...

cell.com

The great hall at the National Academy of Sciences. The domed ceiling reads: “To science: pilot of industry, conqueror of disease, multiplier of the harvest, explorer of the universe, revealer of nature’s laws, eternal guide to truth”

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When I was learning R in 2016 (grad school): I started in June and didn't get good until September. It was simple stats, data wrangling, ggplot, and bulk RNA-seq analysis. Fall 2026 I'll teach bioinformatics as my teaching assignment. Things can be difficult at first. Be patient.

🧵 This is something scientists and science policy nerds need to think about more if we want to live in an accountable and evidence-based reality. How do we ensure that data remain transparent and accessible over time?

Joe Bak-Coleman@jbakcoleman.bsky.social · 4w ago

Every once in a while you find a paper that does a lot with a simple approach. Today's is from @natematias.bsky.social, Cassidy Waldrip, and @davidlazer.bsky.social. They simply ask how much computational social science can be reproduced? #metascience. journalqd.org/article/view...

Absolutely this. Bell Labs was very productive when I was a kid. But they, as a monopoly, basically had the ability to tax the entire US population. Moreover, while they published or otherwise disseminated some of their findings, they kept some just for A T & T.

Brent Simmons@thrashy.bsky.social · last mo.

It's worth pointing out that one of the few private entities to ever do significant amounts of basic research was Bell Labs, a subsidiary of a telecom monopoly at the height of its monopolistic abuses. Basic research is a costly endeavor, and few entities outside gov. can afford it.