Riccardo Fusaroli

The Groningen Spring school on Cognitive Modeling is back! Join us from March 30th-April 2nd, 2026! www.ai.rug.nl/springschool/

broken link?

New paper out today w @dalmaijer.bsky.social @barbaraklump.bsky.social and @lucymaplin.bsky.social as part of the Phil Trans special issue doi.org/10.1098/rstb.... Over 2 years, we studied a population of cockatoos thought to be the source of the innovation of bin-opening.

🧠⚙️ Interested in decision theory+cogsci meets AI? Want to create methods for rigorously designing & evaluating human-AI workflows?

I'm recruiting PhDs to work on:
🎯 Stat foundations of multi-agent collaboration
🌫️ Model uncertainty & meta-cognition
🔎 Interpretability
💬 LLMs in behavioral science

Are you working on a project where you need to infer whether individuals are socially learning? pathways, correlates of, and individual variation in sensitivity to social transmission? Consider joining the hand-on STbayes workshop to learn about the latest update to the NBDA framework

I guess eventually we'll be able to use the functionalities based on bridgesampling (e.g. BF) also when using cmdstanr as backend.

all teaching is in English, so whatever fluency you need to sedn the occasional mail to admin. But ofc if you settle down in a country, it's a good idea to learn the local language 🤷

YouTube video by InteractingMindsAU Riccardo Fusaro: The puzzle of Danish

Joke aside we did study what it takes to learn and speak danish! m.youtube.com/watch?v=bLlG...

YouTube video by Pikapool Uti Vår Hage - Kamelåså(HD) Dansk språk Med Atle Antonsen, Bård Tufte Johansen & Harald Eia

m.youtube.com/watch?v=ykj3...

Assistant Professor, Associate Professor or Full Professor of Cognitive Science - Vacancy at Aarhus University Vacancy at School of Communication and Culture - Linguistics, Cognitive Science and Semiotics, Dept. of, Aarhus University

CogSci in Aarhus is hiring, open rank (assi, asso or full prof).
We want somebody working on and teaching computational modelling of cognitive processes and/or social processes. Students are amazing, work/life balance very satisfactory, and colleagues are nice!

international.au.dk/about/profil...

Our Tuesday guest speaker @interacting-minds.bsky.social 25th Nov will be @graceqmiao.bsky.social joining us remotely.

All are most welcome in person or online interactingminds.au.dk/events/singl...

Thanks to @fusaroli.bsky.social for organizing

Culture is critical in driving orangutan diet development past individual potentials - Nature Human Behaviour Howard-Spink et al. develop an empirically based model of orangutan diet development, which suggests that social learning is vital for orangutans to acquire varied diets.

Our New Paper is out in Nature Human Behaviour: 🚨 Culture is critical in driving orangutan diet development past individual potentials! 🦧 www.nature.com/articles/s41.... See 🧵

for all of you using the ALIGN library (to measure lexical, syntactic and semantic alignment in conversations), Nick Duran has put together a great refactoring: ALIGN 2.0 (github.com/nickduran/al...), now integrated with Spacy and Bert

this is an excellent parallel! my kid tends to homogeneously long sentences when discussing his latest pokemon cards and, boy, that's not super proficient communicative skills (tho' impressive use of subjunctive and conditional moods in those sentences!)

short utterances are as important as long utterances, so mean itself is not the right measure. The distribution of LU, however, is not very amenable to standard deviation (skewed, discrete). I remember trying both IQR and variance in a poisson model and both were better predictors than sd.

Beyond Mean Length of Utterance: Novel Measures for Characterizing the Spoken Language of Autistic Children Purpose: Mean length of utterance (MLU) is a common measure of expressive language complexity in young children, including autistic children. How...

A new paper suggests that variance in length of utterance might be a better measure of linguistic skills than mean length of utterance: pubs.asha.org/doi/abs/10.1... I had that thought while working on this: doi.org/10.1016/j.co... but never pursued, yet it seems very persuasive: 1/

awesome thanks!

Those special effects always get me

Cool! Is there an open access version?

it didn't get funded :-/

yes, definitely. But I need to change the analysis in a registered report I inherited (long story), so I'm gearing up for the fight and more precise references will probably be needed :-)

I remember reading a paper on the causal confounds involved in analyzing only RTs from successful trials, but I can't find it again. Maybe, @dingdingpeng.the100.ci, you mentioned it at a certain point?

when working on a second Puzzle of Danish grant (unfunded) we were playing with the idea that Danish might make things either easier for hearing loss (you developed good noise robust strategies), or harder (your system is already stretched). So yeah probably a lot to discover :-)

Super cool work! Do you know how that’d interact w hearing loss? Aging neurotypicals report similar problems, so I wonder about aging autistic individuals

I don’t know if it’s just me but I get called nicknames by my students in dk, which was quite upsetting at the beginning… perhaps because of the unscandinavian sounds in my name 🤷now I just keep aa amused gsheets . So far 27 and counting

great, I implemented it in my first script attempt, so this is a nice reassurance, thanks. I suspect a full model would need to use markov models to include sequential information within and between person (often several automated segments do all belong to one manual segment).

I will check them tonight, thanks! anything more specific on how to align automatically identified segments (sometimes with a generic SPEECH label) with manually annotated segments (which brings the many2one and one2many matching issue)?

I am now ready to face the more complex state-of-the-art algos. In particular, I'm trying to build a measurement error model, so assessing the match between automated and manual segments is quite crucial (ie which automated segments correspond to each manual segment). @dresen.bsky.social ?

Speaker diarization issue: I have long audios automatically diarized (timing and labels of vocalizations) + 5-minute snippets manually diarized. What is the state of the art to assess matches and biases? I wrote a script to get familiar w the issues (1toMany, ManyTo1 matches, etc), so 1/

just spotted this while double checking a collaborator's scripts before uploading them to OSF - @solomonkurz.bsky.social :-)