iiinova — where your digital self keeps evolving

Manuel Anglada-Tort @manuelangladatort.bsky.social · 06/03/2026

🎵 Registration is open for the 2026 SEMPRE Conference on #MusicScience and #MusicPsychology at Cambridge University (CMS + MMB) on 16 April 2026. Talks and posters from early career researchers, a keynote by Dr Marcus Pearce, and many opportunities to connect with others. Website: lnkd.in/eEQPKr5Q

lnkd.in

This link will take you to a page that’s not on LinkedIn

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Harin Lee @harinlee.info · 04/06/2025

Big cities are vibrant hubs of culture, but why exactly is that? Now out in @natcomms.nature.com, we analysed music listening patterns of over 2.5 million people and demographics to examine mechanisms driving cultural diversity. With @researchdeezer.bsky.social @norijacoby.bsky.social Highlights ⬇

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Eline Van Geert @elinevg.bsky.social · 05/05/2025

It was an honor to be interviewed about my doctoral research by @bdalile.bsky.social for #KarakterCast! This interview happened on the occasion of me receiving the ASL research award for Human Sciences for my PhD work. Check it out on Spotify: open.spotify.com/episode/07Zu...

Image showing the title of the podcast episode "In the eye of the beholder? How the viewer and context shape the visual experience" and pictures of podcast host Dr. Boushra Dalile and podcast guest Dr. Eline Van Geert

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COCOCOlab @co3lab.bsky.social · 29/04/2025

We are recruiting postdocs! Want to grow your own social networks to study creativity, cultural evolution & decision-making? We are hiring a funded postdoc at Cornell in collaboration with UC Davis, CUNY, & Princeton. Apply here: academicjobsonline.org/ajo/jobs/28959

academicjobsonline.org

Cornell University, Psychology

Job #AJO28959, WDR-00049313 Postdoctoral Associate in Computational Collective Behavior, Psychology Department, Cornell University, Ithaca, New York, US

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Ted Underwood @tedunderwood.com · 29/04/2025

Tag yourself. I’m “puzzled-misinformed.”

The image presents three panels (A, B, and C) summarizing a study of prosodic patterns in speech and their association with communicative functions.
• Panel A: A horizontal stacked bar chart showing how different prosodic function labels (e.g., “Intrigued-Surprised,” “Routine-Mundane,” “Aroused-Opinionated”) are distributed across clusters of intonation units (IUs). Each row represents a cluster (labeled c1, c2, etc.), and colored segments within each row represent the proportion of IUs labeled with specific functions (e.g., F1, F2, F3), along with a legend of attitude labels aligned to the right.
• Panel B: A series of pitch contour plots overlaid on waveform segments of the word “yeah,” showing five types of intonational contours: “affirmation,” “weighty agreement,” “newsmark,” “surprised newsmark,” etc. These are differentiated by F0 (pitch) in semitones.
• Panel C: A longer time-series showing pitch (F0 in semitones) and waveforms for various spoken phrases (e.g., “oh really,” “no,” “great,” “sure,” “yeah,” “right”). These are categorized into three groups: “animated newsmark,” “excitement expression,” and “strong agreement,” with rising and falling pitch contours corresponding to expressive intent.

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John McBride @john-mcbride.bsky.social · 17/04/2025

Work with Steven Brown and Elizabeth Phillips: They annotated by ear an impressive set of ~400 scales from vocal music across the world. I used algorithms to get accurate estimates of scale degrees in cents. Cool stuff! Data is all available here: zenodo.org/records/1060... Will release code later

nature.com

Musical scales optimize pitch spacing: a global analysis of traditional vocal music - Humanities and Social Sciences Communications

Humanities and Social Sciences Communications - Musical scales optimize pitch spacing: a global analysis of traditional vocal music

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Manuel Anglada-Tort @manuelangladatort.bsky.social · 12/03/2025

🎶Join us tomorrow for a talk on 𝗺𝘂𝘀𝗶𝗰𝗮𝗹𝗶𝘁𝘆 𝗶𝗻 𝗮𝘂𝘁𝗶𝘀𝗺 by Prof Pam Heaton (details in link). Pam's research has shaped the cross-disciplinary study of developmental disorders and its relation to music cognition. #AutismResearch #MusicCognition

gold.ac.uk

Professor Pam Heaton: Approaches to understanding musicality in autism

Professor Pam Heaton, Emerita Professor of Psychology, Goldsmiths, will present her research on A re-evaluation of approaches to understanding musicality in autism

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Ben Sheldon @sheldonbirds.bsky.social · 07/03/2025

New paper on the demographic drivers of cultural evolution in Great Tit song published today - epic work led by @nilomr.bsky.social with help from @andreaestandia.bsky.social Ella Cole & Sara Keen. Why did we do this, and what did we find? 🧵 follows: 1/n www.sciencedirect.com/science/arti...

sciencedirect.com

The demographic drivers of cultural evolution in bird song

Social learning can give rise to shared behavioral patterns that persist as culture within animal communities,1,2 such as bird and whale songs and cet…

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Manuel Anglada-Tort @manuelangladatort.bsky.social · 11/02/2025

This sounds like a dream: Barcelona + Cognitive Modelling!

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Mason Youngblood @masonyoungblood.bsky.social · 06/02/2025

Andy Whiten and I wrote a @science.org perspective about a cool new study from @inbalarnon.bsky.social @simonkirby.bsky.social @ellengarland.bsky.social et al! They found humpback whale song has language-like statistical structure, using methods inspired by infant language learning 🐋🎶 Links below ⬇️

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Manuel Anglada-Tort @manuelangladatort.bsky.social · 09/12/2024

The final speaker of the term will be Oliver Durcan on "Exploring the Dynamics of Flow State Episodes" — those moments of heightened absorption, effortless control, and increased enjoyment during skilled activities like music making. Join us in person this Thursday (12-1PM) or DM for an online link.

musicmindbrain.com

Exploring the dynamics of flow state episodes

Oliver Durcan

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Manuel Anglada-Tort @manuelangladatort.bsky.social · 03/12/2024

This Thursday Young-Jin Hur (University of Arts London) will be presenting recent work on the psychology of fashion and everyday clothing choices at @goldsmithsuol.bsky.social. Feel free to join! This is part of our SCAPA seminars (Science of the Creative and Performing Arts).

musicmindbrain.com

From the sublime to everyday clothing choices

Young-Jin Hur

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Psyche Loui @psycheloui.bsky.social · 17/11/2024

Delighted to share that our edited volume, The Science Music Borderlands, won the 2024 Ruth Solie Award from the American Musicological Society! Thank you to all who helped on the project.

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Alex Mesoudi @alexmesoudi.com · 21/09/2024

Starter packs seem all the rage so here’s a cultural evolution one go.bsky.app/6mZJyQq

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Alex Mesoudi @alexmesoudi.com · 15/11/2024

Announcement! The next @culturalevolsoc.bsky.social CES conference will be at UM6P in Rabat, Morocco, provisional dates 11-13th May 2026! Hosted by Mathieu Charbonneau, @sarahalami.bsky.social, @zhgarfield.com & @edseabright.bsky.social. Save the dates! culturalevolutionsociety.org/news-and-eve...

culturalevolutionsociety.org

Cultural Evolution Society 2026 Conference Announced - Cultural Evolution Society

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Simon Schug @smonsays.bsky.social · 13/11/2024

To help find people at the intersection of neuroscience and AI. Of course let me know if I missed someone or you’d like to be added 🧪 🧠 #neuroskyence go.bsky.app/CAfmKQs

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Micah G. Allen @micahgallen.com · 13/11/2024

Some resources i've curated for the cognitive and computational neuroscience communities on bluesky! First, a twin set of starter packs. go.bsky.app/2n84SRM

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xuan (ɕɥɛn / sh-yen) @xuanalogue.bsky.social · 11/11/2024

Okay the people requested one so here is an attempt at a Computational Cognitive Science starter pack -- with apologies to everyone I've missed! LMK if there's anyone I should add! go.bsky.app/KDTg6pv

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David R. Quiroga-Martinez 🧠👂🎵🎸🇨🇴🕺 @dquiroga.bsky.social · 07/11/2024

For all the newcomers, here is a starter pack of people to follow on #musicscience, music cognition and related topics. just comment below if you want to be added! go.bsky.app/4oZbDpj #musicskyence

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Harin Lee @harinlee.info · 20/05/2024

Our mega project, jointly led with @manuelangladatort.bsky.social, is out now as preprint! We monitored millions of daily music discoveries across 1,423 cities and use this data to probe worldwide cultural shifts in real-time during the 2022 Russian invasion of Ukraine.

Preprint announcement of paper "Global music discoveries reveal cultural shifts during the war in Ukraine"

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Giacomo Bignardi @giacomobignardi.bsky.social · 25/03/2024

🎵Notes from Beethoven's genome 🧬 A depiction of the challenges of individual-level genetic predictions using Beethoven's genome From L. Wesseldijk, S. Fisher, me, @davidjohnbaker.bsky.social, and many more. doi.org/10.1016/j.cu...

Fig 1.A from Wesseldijk, L.W., Henechowicz, T.L., Baker, D.J., Bignardi, G., Karlsson, R., Gordon, R.L., Mosing, M.A., Ullén, F., and Fisher, S.E. (2024). Notes from Beethoven’s genome. Curr. Biol. 34, R233–R234. 10.1016/j.cub.2024.01.025.

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John McBride @john-mcbride.bsky.social · 14/02/2024

Really excited to be back working on the evolution of musical scales. My project is coming to an end at last after 6 years. 🎵🧬 🎵🧠 First, I created a database of scales from data in the ethomusicology literature. Kudos to Ellis, Kunst, Tracey, Kubik, and all who followed in their footsteps. 1/5

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Claudia Peñaloza @claudiapenaloza.bsky.social · 26/12/2023

A PhD student in our lab in conducting this survey study on natural singing. Everyone can participate, all ages, all countries welcome! Please help her participating in her study and spreading the word! ubpsychology.eu.qualtrics.com/jfe/form/SV_...

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Oleg Sobchuk 🇺🇦 @sobchuk.bsky.social · 13/12/2023

Journal fees for open access are becoming obscene. But what are we, scientists, paying for? I made a simple plot with journals in my research area(s). Clearly, we are paying for prestige: a shockingly clean correlation between the impact factor and journal fees

A plot showing prestige (impact factor) on vertical axis and fees charged by journals on horizontal axis.

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Psyche Loui @psycheloui.bsky.social · 30/11/2023

Why do we love music? Our lab’s 9-study suite on learning rewards from levels of predictions in a new musical system, out today in @psychscience.bsky.social #musicscience #PsychSciSky #neuroskyence, @nickkathios.bsky.social & Matt Sachs w/ Tia Ou, Euan Zhang journals.sagepub.com/doi/epub/10....

journals.sagepub.com

Sage Journals: Your gateway to world-class journal research

Subscription and open access journals from Sage, the world's leading independent academic publisher.

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Alex Lamont @alexlamont.bsky.social · 28/10/2023

Funded PhD project on music, autobiographical and collective memories with me at Keele Uni, UK -psych grads only, sorry, but distance learners welcome. Closes 4 December. #musicscience

findaphd.com

PhD studentships in the School of Psychology at Keele University on FindAPhD.com

PhD Programme - PhD studentships in the School of Psychology at Keele University, listed on FindAPhD.com

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Ross Dahlke @rossdahlke.bsky.social · 27/10/2023

Despite concerns of YouTube's algorithm leading to right-wing rabbit holes, Ibrahim et al. conduct an algorithmic audit and find that the algorithm pulls users away from political extremes and even skews left-leaning doi.org/10.1093/pnas...

Experiment setup. An illustration of the different stages undertaken during our experiment. In the account creation stage, users are designated one of six political classes which denote the class of videos they will watch in Stage 1. In Stage 1, each user watches 30 videos of a given political class. After each video is watched, the videos recommended to them are collected. After Stage 1, each user is designated a new political class, which will denote the class of videos which they will watch in Stage 2. Similarly, in Stage 2, users watch 30 videos of a given political class, and the videos recommended to them are collected. Finally, in Stage 3, each user will watch the top recommended video to them and subsequently, the set of recommended videos after each video is watched is collected.

Distribution of recommendations made after watching videos of a particular political class. (a) Proportion of recommended videos falling under each political class after each video is watched, with error bars representing 95% confidence intervals. The proportions of videos falling under each political class after each video watched sum up to 100%. (b) Category distribution of recommended videos after each video is watched, where the proportion of videos falling under each category sum up to 100%. The title of each plot indicates the political classification of the videos being watched.

Escaping political personas. The average number of videos watched until the user reaches a point at which the proportion of recommended videos with the new class exceeds that of the original class. For instance, subplot (a) shows the results when Far Left is the original class that the user is trying to escape, as well as the results when Far Left is the new class that the user is trying to enter. A black line indicates that this point was not reached after 30 videos of the new class were watched.

Recommendation pathways. Each subplot represents users who watched a particular political class in the first stage. Within each subplot, each vertex represents the political class watched in the second stage. Colored lines represent a switch from one class to another after 30 videos were watched in the third stage, where the color denotes the origin class from which the directed edge is emanating. The numeric value in each vertex represents the number of users which remained within the class (i.e. the number of self-loops). The size of each vertex corresponds to the difference in number of inbound edges and outbound edges. Larger vertices indicate that users are more likely to enter the vertex’s class, while smaller vertices indicate that users are more likely to escape the vertex class.

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Ed Hagen @edhagen.net · 08/10/2023

bluesky is growing approximately exponentially, with the current growth rate around 1%/day 🧪 vqv.app/stats/chart

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Fabian C. Moss @fabianmoss.bsky.social · 02/10/2023

Pls 🔄: 🗓️ Only two more weeks until the beginning of our exciting lecture series at Würzburg University and our poster is making appearances all over the city! Talks will be recorded an published here codamus.pubpub.org in case you can't attend in person! #musicscience #digitalhumanities #dh

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David John Baker @davidjohnbaker.bsky.social · 13/09/2023

If you need to convince other people to join us on 🎵🧪 , wrote a post so I don't have to keep saying the same thing over and over again. davidjohnbaker.rbind.io/posts/2023-0...

davidjohnbaker.rbind.io

BlueSky for Music Science 101 | David John Baker

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Harin Lee @harinlee.info · 21/08/2023

Hi Bluesky 🔵 Travelling to Tokyo this week for ICMPC 2023 to present a two year long project led by @manuelangladatort.bsky.social and myself, studying how music diffuses around the globe 🎶

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Oleg Sobchuk 🇺🇦 @sobchuk.bsky.social · 21/08/2023

My chapter on cultural evolution of literature & film – for the upcoming Oxford Handbook of Cultural Evolution – is now on the OUP website: doi.org/10.1093/oxfordhb/9780198869… But accessing it isn't easy 😿 So check out its preprint: osf.io/preprints/socarxiv/7h3jy

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Oleg Sobchuk 🇺🇦 @sobchuk.bsky.social · 16/08/2023

Contrary to what's often claimed, this paper finds that "among the five emotions, risk and disgust are least well-preserved, compared with joy, sadness, and embarrassment" www.nature.com/articles/s41598-023-…

nature.com

Quantifying the retention of emotions across story retellings - Scientific Reports

Scientific Reports - Quantifying the retention of emotions across story retellings

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Peter Harrison @pmcharrison.bsky.social · 07/08/2023

Excited for this fresh start on BlueSky, it would be great to rediscover the great academic community we used to have on Twitter. If only @davidjohnbaker.bsky.social can get the #musicscience feed to work, that'll be a good start!

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