Matteo Lisi

A statement from the President of the Royal Society | Royal Society A statement from Adrian Smith, President of the Royal Society, regarding threats to the values that allow science to flourish.

Deeply disappointing. Once again the @royalsociety.org has avoided explaining how *actions* by Elon Musk that clearly repudiate the Society's values are consistent with the code of conduct that Fellows must adhere to. royalsociety.org/news/2025/10...

Amateur view. AI bubble shows that there is too much money chasing too few opportunities for genuine innovation. The solution is to take a medium/long view and put much more funding into basic science in universities rather than cutting as is happening now. (But I would say that wouldn’t I?)

❗️Our next workshop will be on October 2nd, 6 pm CEST, on Effective and Useful Feature engineering by @emilhvitfeldt.bsky.social

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#AcademicSky #EconSky #RStats

Research Assistant at UCL Recruiting now: Research Assistant on jobs.ac.uk. Click for details and explore more academic job opportunities on the top job board

We’re hiring! We’re looking for two RAs to study neuroplasticity in sight loss, sight rescue and development in children and adults @ucl.ac.uk using a wide range of neuroimaging and behavioral methods. Please help spread the word! Apply by 16 Oct! t.ly/q3aYe #neurojobs #NeuroSkyence

Biggest record of hope against hate Add your name to show you’re with us >>

All sign this please @hopenothate.org.uk secure.hopenothate.org.uk/page/178037/...

Research Assistant at UCL An academic position as a Research Assistant is being advertised on jobs.ac.uk. Click now to find more details and explore additional academic job opportunities.

We’re hiring! We’re looking for two RAs to work with @tessamdekker.bsky.social and @ronimaimon.bsky.social on visual neuroscience experiments with children and adults, both with and without eye disease using cutting-edge neuroimaging and behavioral methods. Apply by 16 Oct! t.ly/q3aYe #neurojobs

New paper out! 📣

Syrian refugee children (4-9 yrs) show age-related shifts in judging trustworthiness from faces — older kids tend to see faces as less trustworthy; yet judgments are not tied to child or maternal mental health.

doi.org/10.1017/S095...

#PsychSciSky
@rhulpsychology.bsky.social

<em>British Journal of Health Psychology</em> | Wiley Online Library Objectives Patients' expectations for antibiotics are among the strongest predictors of clinicians' decisions to overprescribe antibiotics. In this registered report, we used a signal detection theo...

New registered report out in BJHP📣

How to reduce demand for antibiotics?

Using Signal Detection Theory, we show that clinician explanations & CRP point-of-care results reduce antibiotic expectations and improve discernment

doi.org/10.1111/bjhp...

#PsychSciSky @rhulpsychology.bsky.social

Grand Designs: the loss of American freedom Exactly seven months into Trump's second term, we have reached 1000 authoritarian actions. Here I lay out the enormity of what has happened.

🚨1000 authoritarian actions. 7 months🚨

I've been tracking Trump's authoritarian actions. From dismantling democratic institutions to militarising immigration enforcement, Trump is reshaping America.

In my new post I highlight key authoriarian attacks
christinapagel.substack.com/p/grand-desi...
1/2

😯 I didn't know! whoopsie! 🙃

@dingdingpeng.the100.ci @lakens.bsky.social @eikofried.bsky.social ‬@aggieerin.bsky.social‬
‪@drcpennington.bsky.social‬ ‪@gpwilliams.bsky.social‬ ‬ ‪@willjharrison.bsky.social ‪@guidomaiello.bsky.social‬‪

I’ve surely missed someone — please share with anyone else interested. Thanks a lot!

Book cover of “Statistics for Psychology Using R: A Linear Models Perspective” with promo text: Get 20% off with code OPENUP20.

This project has been great fun to work on. I’d love to hear from people involved in teaching statistics or research methods — your thoughts and feedback would be highly appreciated!

If you’d like to have a look, evaluation copies can be requested here: www.mheducation.co.uk/professional...

Endorsement from Massimiliano Pastore, Professor of Psychometrics, University of Padua, Italy: “An invaluable resource that bridges the gap between statistical theory and practical application, providing a unified approach to common statistical tests through the lens of linear models.”

A special highlight for me was having an endorsement from Massimiliano Pastore, my stats prof during my studies, appear on the back cover. His support makes this book one of the most rewarding achievements of my career so far

Among other things, we tried to use recent open datasets from contemporary research to make examples feel fresh and relevant. We also cover slightly more advanced topics, including multilevel linear and logistic models, while keeping the material accessible to students.

And while we are both enthusiastic about Bayesian methods, in the book we stick to frequentist approaches. These remain the most widely used in the psychology literature students encounter.

But we point readers to excellent resources such as by @rmcelreath.bsky.social and @avehtari.bsky.social

We place strong emphasis on effect sizes & estimation, and confidence intervals — alongside p-values — so students appreciate the multiple way to make inferential decisions.

We also made some deliberate design choices. For example, although we mention the tidyverse, the book is mostly based on base R. We think it’s important that undergraduates also get exposed to core coding concepts (e.g. loops), which can otherwise be hidden by handy higher-level tidyverse functions.

There is lots of code and hands-on R examples. We emphasize simulations as key tool for power and sensitivity analyses, and discuss reproducible practices, taking inspiration from the principles of open science.

We also wanted to go beyond providing a set of applied "recipes". The book introduces key ideas from probability theory and causal inference to promote more solid foundations for research and statistical literacy. For example, we discuss probability spaces, DAGs, data-generating processes, and more.

This book was a labour of love. We aimed to provide psychology undergraduates a fresh approach to statistics, based on a unified framework where t-tests, ANOVA, regression, and multilevel models are all taught as special cases of the linear model.

Physical copy of the book “Statistics for Psychology Using R: A Linear Models Perspective” by Alasdair Clarke and Matteo Lisi, with a red title block and abstract network graphic.

Excited to finally have in my hands a copy of our new book Statistics for Psychology Using R: A Linear Models Perspective (written with Alasdair Clarke, not on bsky) !!

📘 www.mheducation.co.uk/statistics-f...

#PsychSciSky #neuroskyence #statistics #statssky
@rhulpsychology.bsky.social

New paper out! 📣

#PsychSciSky #neuroskyence
@rhulpsychology.bsky.social

👇

Excited to share our new preprint...

...𝑖𝑡'𝑠 𝑎𝑏𝑜𝑢𝑡 𝑡𝑖𝑚𝑒! ⏳

We find temporal confounds in fMRI that emulate neural patterns of perceptual learning.

These can be hard to spot with conventional RSA, but may influence our understanding of how prior knowledge shapes perception.

tinyurl.com/4bwy6nre

If you are at #CCN25 and interested confidence bias and confidence noise in humans come say hi at poster C13 this afternoon!

PDF link: mlisi.xyz/files/CCN25_...

@rhulpsychology.bsky.social

Huge thanks to our collaborators, the families in Amman, Taghyeer NGO, and our funders.

Unfortunately, the number of children displaced by conflict is rising. Our study highlights the pervasive effects of war on children’s development and, while we suggest targets for support, the best help is prevention — campaining for peace over military escalation.

Our findings add to evidence that not all early adversity has the same cognitive signature. For children facing forced migration and war trauma, support should ideally aim to foster cognitive flexibility and longer-horizon planning.

This wasn’t about poorer learning rates or “worse” strategies overall — kids learned the task structures. But stronger influence of recent rewards can be costly in volatile settings that benefit from exploration and stable strategies.

Study 3: three-door bandit task with a sure 1-coin door (S) vs two risky doors (R). Data and model show alternation between S and R for all children, but only refugees persist with R after a 2-coin win (and switch to S after zero) — evidence of reward-dependent stickiness.

What we expected: less exploration after adversity.

What we found: a pattern of differences better explained as heightened reward sensitivity.

Refugee children were more likely to stick with a risky choice after it paid off, even when a steady “safe” option was available.