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russpoldrack.bsky.social
Professor at Stanford. Psychology/Neuroscience/Data Science. Books include: The New Mind Readers, Handbook of fMRI Data Analysis, Hard to Break, and Statistical Thinking. https://poldrack.github.io/
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This is a great discussion of how to rethink programming education in the age of AI coding assistants with @will-sentance.bsky.social

Thanks to all of the NIHers and their friends who reached out to me. I am still here (DM me or Signal jeremymberg.78) I still have a very incomplete picture but based on what I have been told, the damage to NIH and to many wonderful people who work(ed) there is/was impossible for me to imagine 1/n

In the "words no longer mean what they say" category, this from Hulu today:

"I've spent over five decades as a scientist in academia and the federal government," Harold Varmus, the former director of the N.I.H., writes in a guest essay. "Never before have I seen my profession so politicized as it is now under the Trump administration."

My heart goes out to the folks at NIH and other agencies who are losing their jobs today.

A great quote from @ylepidemiologist.bsky.social (which you should definitely be reading!) about what we need to do establish trust for science going forward open.substack.com/pub/yourloca...

Just a reminder that Germany was the center of scientific progress until the Nazis suppressed, drove away, or killed all the non-Nazi scientists.

New @sloanfoundation.bsky.social postdoc program on Metascience and AI. Please reach out to me if you are interested in applying for this to work with our lab on these questions, which are of great interest to us right now. sloan.org/programs/dig...

It's going to be a long four years, especially if we make ourselves insane misreading budget documents. This is a story where multiple things are true at the same time and it's a warning about how we consume information going forward gizmodo.com/the-400-mill...

This is a must-read for US scientists right now.

Doctored by @charlespiller.bsky.social is a must-read. It lays out a devastating case for widespread corruption and fraud within the field of Alzheimer’s disease research, driven by the single-minded pursuit of the amyloid cascade hypothesis alongside major financial COIs.

This is the most relevant article to NIH and research cuts I’ve seen. Imagine if this was today , how many people would be saying “Why are we studying Gila Monsters and their impact on diabetes ? That’s wasted money !” globalnews.ca/news/9793403...

Top comment on the recent NYT story on DOGE’s young aides www.nytimes.com/shared/comme...

New essay on NIH and indirect costs: goodscience.substack.com/p/indirect-c...

Great analysis of the indirect cost rate announcement by @stuartbuck.bsky.social

1/8. This week I had a few different conversations with scholars who, in the face of the attacks on science and institutions of learning in the U.S., are wondering what to do. One suggestion I have is: keep doing your work. It matters in and of itself. Why do I say that? A few reasons.

On changes to #NIH indirect rates, there is a law in place that prohibits NIH from making such changes without the approval of Congress. See Division D, Title II Section 224 of The Further Consolidated Appropriations Act, 2024 (Public Law No: 118-47) grants.nih.gov/grants/guide...

Looking forward to this!

We are very excited to announce the open release of a new 170 participant dataset: Linked MEG, TMS, multimodal 3T MRI, 7T MRI, Connectom MRI, cognitive /questionnaire data. Immense effort from a fabulous CUBRIC team. Paper by Carolyn McNabb et al: doi.org/10.1038/s415...

Nice overview of the various methods for creating reasoning LLMs

Maybe this is a time to suspend “$39.99 for this pdf” otherwise we are toast because everyone will stop knowing things.

My prefrontal cortex feels seen

Time to bone up if you want to understand what your students are talking about.

WOMEN and FEMALE are red flag words. (Men, male are not on the list). Let that sink in.

Excited to be part of this!

I hope you will all join me in expressing your thanks to the NIH and NSF staff who are working in an impossibly difficult and chaotic environment to keep science going in our country.

Dear Canada and Mexico, We’re so, so sorry. — Sane America

A new Python toolbox called HSSM simplifies working with Hierarchical Sequential Sampling Models (HSSMs) to understand how we accumulate evidence and make choices. Built on PyMC, Bambi, & ArviZ. Check it out! #cognitivescience #python #decisionmaking edspace.american.edu/openbehavior...

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