Riccardo Fusaroli Profile picture
Jun 18, 2019 8 tweets 8 min read Read on X
Morning of exam grading. I'm quite impressed by what open science is allowing students to do. So far: scales of chronic fatigue overlapping (building on @EikoFried's code), mixed strategies of social learning (based on @_lrendell and Galesic/Barkoczi codes)
@EikoFried @_lrendell and of course I almost overlooked how incredibly enabling #brms, @mcmc_stan tidyverse, #rstats, @rstudio, #oTree, #Python and @psychopy are. what my students are doing was basically impossible for the average students in my uni years (early 2000's)
@EikoFried @_lrendell So much more good stuff! More on critical social learning in agent-based-models (ABM). A study building on a simplified version of @bahadorbahrami's Optimally Interacting Minds to investigate gender bias, then implementing the empirical biases in this ABM: github.com/penelopy/bias_…
@EikoFried @_lrendell @bahadorbahrami And even more open science! Expanding @zerdeve's excellent model of scientific progress, the students add network structure to "investigate consensus in science and find that scientific consensus surrounding truth might be the exception, not the rule". Ouch!
@EikoFried @_lrendell @bahadorbahrami @zerdeve Evening spent learning about semantic dynamics in the Czech parliament. The students first reproduce @SimonDeDeo's French parliament results: novel speeches are more influential in the short term, then show that novelty plays a harsher price in the longer term ImageImage
@EikoFried @_lrendell @bahadorbahrami @zerdeve @SimonDeDeo This morning's work: testing implicit gender/STEM bias (IAT by @BrianNosek) across educations from more traditionally STEM, via CogSci to more traditional Arts ones.
Then a super-cool test of how social conformity in trustworthiness judgments (from here: nature.com/articles/s4159…) varies as a function of the rated face being of own or other ethnicity (no main effect, but lots of individual variability there)
Uh, and now students building different taxation/economic systems on top of @alexpluchino 's ABM model of the reciprocal role of talent and luck.

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More from @fusaroli

Feb 5, 2023
DAG question for #CausalInference and #epitwitter tweeps: TL;DR: How do we use DAGs in typical pharmacosurveillance scenarios, when the entities of interest are unobserved? A thread 1/
We are interested in whether the administration of a drug is causing an increase in the probability of an adverse event (thus, an adverse drug reaction), vs. there not being any causal relation. 2/
However, the data we have access to are the spontaneous reports of practitioners and patients, about the co-occurrence of drug & event. So, drug & event are unobserved variables, only the report of their co-occurrence is reported. 3/
Read 9 tweets
Sep 16, 2022
Should we use findings from previous studies and meta-analyses to shape our statistical inferences (aka informed priors)? What are the advantages and issues? Strap on for a loooong thread (link to a video of the talk at the end) 1/
TL;DR - Systematic use of informed studies leads to more precise, but more biased estimates (due to non-linear information flow in the literature). Critically comparison of informed and skeptical priors can provide more nuanced and solid understanding of our findings. 2/
Background: @ShravanVasishth & @bruno_nicenboim invited me to give a talk at their amazing Summer School on Statistical Methods for Linguistics and Psychology (vasishth.github.io/smlp2022/). Go sign up for next year if you can! 3/
Read 37 tweets
Jun 24, 2022
How do we understand each other in conversation? A thread based on my recent IACS4 plenary, covering a critical perspective on interactive linguistic alignment - the tendency to re-use each other's linguistic forms. 1/ Image
TL;DR: by building cumulative scientific approaches & standardised automated tools we can show even basic mechanisms like priming and alignment are shaped by the short- & long-term communicative context. Plus, there's no escaping both qualitative and quantitative approaches. 2/
Problem: social interactions are complex: listening to what your interlocutor is saying & how (prosody, gesture), anticipating where they are going, to plan your turn, its content, timing & delivery, shaping it according to expected reactions, etc. Easy to get overwhelmed. 3/ Image
Read 49 tweets
Dec 29, 2021
How do we build a more explicitly cumulative and yet self-critical scientific approach? In a just published paper (onlinelibrary.wiley.com/doi/10.1002/au…), we provide one of many possible paths.
TL;DR and a thread below 1/
TL;DR: design following systematic review, analyse with meta-analytically informed priors, critically assess and compare with skeptical priors, build and promote open science practices. (freely accessible preprint here: biorxiv.org/content/10.110…) 2/
A few years ago I got interested in how autistic individuals sound "different" - noted already in Asperger's and Kanner's early descriptions -, how this is used in current assessment processes (e.g., ADOS) and how it has been scientifically investigated 3/
Read 17 tweets
Sep 14, 2021
Conversation is a dance, how do we learn? In this systematic review & meta-analysis we thoroughly explore models & evidence for how turn-taking develops and which factors are involved. Comments & suggested pub venues are very welcome. Long thread 1/ psyarxiv.com/3bak6
This was a brilliant student-led project by Vivian Nguyen & Otto Versyp from Ghent University, who spent their Fall 20 on an internship (aka regularly zooming) with me and @ChrisMMCox 2/
Turn taking is a very fascinating phenomenon. @Evol_of_Com & @Sonja_Vernes argue that it might be a cornerstone for animal communication in a very inspiring paper (royalsocietypublishing.org/doi/full/10.10…) 3/
Read 24 tweets
Feb 4, 2021
This thread is making me think critically about ongoing work with @AlbertoParola2 and separately with @ethanweed. After looking meta-analytically at vocal markers of psychiatric conditions, we launched projects to systematically replicate and extend them cross-linguistically 1/n
Is there a distrust? Possibly some, looking at the studies and at effect sizes of "1.89". Should there be? I'm not sure. I mean I'd really want to be able to build on these findings to better understand the underlying mechanisms. 2/n
and that's where it stroke me. This work shouldn't stand on its own, but with much needed complementary work on the mechanisms underlying the phenomenologically clear atypicalities (and what they can do in helping us to understand the conditions). Without that, 3/n
Read 4 tweets

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