Alright, I'm checking out that other site! Follow me there if you see this. Same handle as here. I'm really excited to share news tomorrow about a meta-analysis that's been 5 years in the making!!

Hearing that the stats agency inside the Education Department is demolished. Nearly everyone inside the National Center for Education Statistics (NCES) has been fired. Unclear who will run NAEP or collect data that Congress has mandated.

DOGE cuts are targeting agencies perceived as liberal From the other site:

What people want scientists to research vs what they think they research

Foundations of LLMs This amazing new LLM book just dropped on arXiv. 200+ pages! It covers areas such as pre-training, prompting, and alignment methods. It looks like a great intro to LLMs for devs and researchers.

After winning the Fields medal, mathematicians chill out on publishing and start exploring unfamiliar topics https://t.co/2aSE5p8e4A

A recent report from AIR's @davidimiller reveals that kids of both genders perceive boys to be better than girls at #CS and engineering. In @The74, read about the teachers working to dismantle these biases and make #STEM spaces welcoming for everyone: https://t.co/jQFLDrnCBe

"No one’s Ph.D. journey is the same, and no one deserves to be shamed for how long it takes." #ScienceWorkingLife https://t.co/CHtpv0eSKb

Did anyone else have the same reaction as me: the Glasgow Wonka experience was this year??

My most consequential story of the year was about how so-called “science of reading” instruction can still be at odds with the research evidence. One common pitfall is the over-teaching of sounds or “phonemic awareness.” (1/7) https://t.co/PLJ3vKnwky

Can #AI perform high-quality, systematic scientific #litreview? While these tools excel at summarizing scholarly works, we are still far from being able to rely on AI for #quantitative synthesis. More from #AIRMOSAIC's Joshua Polanin in @IEEEorg Spectrum: https://t.co/eqz7a0jHNt

This is consistent with a review of 747 COVID papers we published in @Nature finding that evidence for social science and behavior claims during COVID as very high (16/18 claims were supported) and this research was highly rigorrous (average N= 16,848)

A new paper finds that replicability of social and behavioural science claims in COVID-19 preprints was 65.4% (this included a successfull replication from my own lab--Sternisko et al) https://t.co/sOj571DJEB This is more evidence that research on COVID was actually quite

Some interesting data from @jean_twenge. While 10th graders' average homework time has plummeted, school grades have increased. Yet standardized test scores in math & reading have declined. 🤔 https://t.co/p9QmFVsL0Q

"...we found that, on average, human–AI combinations performed significantly worse than the best of humans or AI alone" https://t.co/gQKuFuLQ3x

Over the moon 🌙 that "A Student's Guide to Open Science" has won the British Psychology Award 2024 in the Textbook category! Thank you to everyone who's read the book, written reviews, & supported 🥰😁 What a way to end 2024! 👏🎉 Thank you to @OpenUniPress! #OpenScience

While diverse perspectives on privacy, safety, and ethics are crucial to #tech, the field is overwhelmingly dominated by men. A new study traces this imbalance to #STEM biases in kids as young as six. More in @sciam from lead author AIR's @davidimiller: https://t.co/afR1gghK7x

Instead of listing my publications, as the year draws to an end, I want to put pressure on the commonplace assumption that productivity must always increase. Good research is disruptive and thinking time is central to high quality scholarship and necessary for disruptive research

Over the past 80 years, academic writing has become substantially harder to read 📉🧪 https://t.co/BiV4UnGfr2 I analysed 350k PhD thesis abstracts and found that they've become more complex in every discipline, especially the humanities and social sciences

Academic writing is getting harder to read. The case for plain language!

Not every study needs to have a power analysis, but every study needs a sample size justification. I discuss 6 approaches, and 6 ways to think about which effect sizes are of interest in the study you are planning. https://t.co/MBAqD1RhOe