Heather Urry

@heatherurry.bsky.social

Prof @TuftsUniversity (psychology) | open inclusive affective scientist | R enthusiast | she/her | say Urry: http://bit.ly/SayUrry | Black Lives Matter

Are you ready to shape the future of psychological science? SIPS Executive Committee nominations are still open!🗳️ We are electing 3 seats for 2027–2030: 🔹 Graduate Student or Post-doc 🔹 Faculty (or equivalent) outside the US/Canada 🔹 Faculty or equivalent career stage, including “alt-ac” positions

SIPS Executive Committee Nominations 2026

We are currently soliciting nominations for the Executive Committee of the Society for the Improvement of Psychological Science. Any member may be nominated, and self-nominations are welcome. SIPS…

docs.google.com

Most of the statistical tests you learned in stats class — t-test, ANOVA, correlation — are actually special cases of a single thing: linear regression. Ch 7 of Experimentology argues that thinking in models, not tests, is more flexible and a better foundation for theory. 🧵 experimentology.io

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New preprint! AI agents have shown impressive scientific automation capabilities. Can we apply them to psychology research, *including* human data collection? We introduce auto-psych, a framework that proposes cognitive models and uses them to design and run human experiments. 1/

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New post! "Making Sense of Replications (and Some Nonsense about the Replication Crisis)," in which I suggest a journal club reading list of new papers on replication, and push back on claims that the replication crisis is fake. getsyeducated.substack.com/p/making-sen...

Making Sense of Replications (and Some Nonsense about the Replication Crisis)

It’s hard to overstate just how much the culture around replication in science has changed over the past 15 years.

getsyeducated.substack.com

The day a child is born is the most dangerous day of life. After birth, a child’s risk of dying declines rapidly across their first year. Risks continue to decline over the next few years, but suddenly rise again during adolescence. Finally, in adulthood, the chances of dying grow exponentially.

Line chart (log scale) of death rates by age for Swedish birth cohorts from the 1800s to the 1980s where lines show a steady decline in mortality across almost all ages — much higher infant and child death rates in early cohorts and lower mortality in recent cohorts. Data source: Human Mortality Database (Max Planck Institute for Demographic Research, University of California, Berkeley, French Institute for Demographic Studies) via OurWorldInData.org. License: CC-BY to the author Saloni Dattani.

Using headers at the start of your code files provides a helpful introduction to your project. One way you can standardize this information is through code snippets in R! Once the snippet is created and named ("header" in this case), just enter the name and press tab and voila!

I just returned from two back-to-back conferences. Students, I noticed that a lot of your slide decks had an oddly similar layout structure and I was able to confirm in conversations that these were AI-generated/assisted. Some thought about this for your own professional development: 🧵

This study of four cohorts of French schoolchildren shows that the gender gap in math (girls falling behind) begins essentially immediately as soon as kids start school. They use the natural variation in kids' ages at school start to show that it's school entry, not age, that triggers the change.

Rapid emergence of a maths gender gap in first grade - Nature

Boys and girls exhibit very similar maths scores upon school entry, but a gender gap in favour of boys becomes highly significant after 4 months of schooling, which increases with years of schooling,&...

nature.com