I'm looking for a PhD Student at the intersection of Machine Learning and Developmental Psychology.

We study everyday experiences in children from 🇰🇪🇩🇪🇹🇷 and use ML models to quantify interactions.

4 years, fully funded, great team, beautiful location. Please share and apply!

tinyurl.com/2mafdyh4

Excited to share my first publication in Animal Behaviour! Our study investigates how social stimuli influence object memory in great apes across different age groups (infancy to adulthood). Read more here: www.sciencedirect.com/science/arti...

You study vocabulary? You need a short high quality measure? You love the CDI but your kids are too old (>3)?

Meet PREVIC - our adaptive (IRT-based) parent report measure of expressive vocabulary!

💯 open source and ready to use

paper: rdcu.be/eahE7

measure (🇩🇪): ccp-odc.eva.mpg.de/previc-demo/

The task’s customizability, minimal language demands, and an efficient data-collection method make it a valuable tool for cross-cultural research. We hope that the TANGO-CC'S pragmatic construction process can provide a roadmap for future cross-cultural studies on social-cognitive development 🌍🌎🌏

In a data set from 2.5- to 11-year-old children from 17 diverse communities, we analyzed the psychometric properties of the task. The TANGO-CC captures individual- and community-level variation and shows good internal consistency. Within-community variation outweighed between-community variation.

With this amazing international team of collaborators, we developed the TANGO-CC: a task to measure gaze following across individuals, ages and communities. All materials are open access. You can try and customize the TANGO-CC here: ccp-odc.eva.mpg.de/tango-cc

and F. Bednarski, A. Dzabatou, A. Henderson, J. Kalbitz, D. Kessafoğlu, B. Köymen, M. Manrique-Hernandez, S. Magazi,L. Mújica-Manrique,J. Ohlendorf, D. Olaoba, W. Pieters, S. Pope-Caldwell,U. Sen, K. Slocombe, R. Sparks, R. Stengelin,J. Sunderarajan, F. Tusiime, W. Vieira, Z. Zhang, Y. Zong, D. Haun

🚨Paper alert 🚨

Need a social cognition task for measuring individual- and community-level variation? We are excited to share the TANGO-CC with you! 👀

Paper: doi.org/10.1177/2515...

w/ @mcxfrank.bsky.social @patkanngiesser.bsky.social @kirstensutherland.bsky.social
@elmanubohn.bsky.social...

Here we go - PhD position #1

Development of language and pragmatics across cultures 🇰🇪🇹🇷🇩🇪

* Comparative longitudinal project
* Focus on individual differences
* Fully funded for 4 years (75% E13, teaching optional)

@volkswagenstiftung.bsky.social

more info👇

www.leuphana.de/en/universit...

Here we go - PhD position #2

Development of social cognition across cultures 🇰🇪🇹🇷🇩🇪

* Comparative longitudinal project
* Focus on individual differences
* Fully funded for 4 years (75% E13, teaching optional)

@volkswagenstiftung.bsky.social

more info👇

www.leuphana.de/en/universit...

New preprint: Measuring variation in gaze following across communities, ages, and individuals — a showcase of the TANGO–CC

We describe the TANGO-CC's design process and its psychometric properties in 17 communities
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Preprint: osf.io/preprints/ps...
Task: ccp-odc.eva.mpg.de/tango-cc/

"A universal of human social cognition: Children from 17 communities process gaze in similar ways"

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Preprint for our large-scale cross-cultural study (N = 1377) on gaze-following. We found the same key processing signatures in all communities we studied.

osf.io/preprints/ps...

Yeah, our TANGO task runs on tablets & computers. For tablets, children touched the screen themselves. For computers, children pointed to the screen while caregivers acted as their „digital finger“. Results are comparable. Sadly, we don’t have experiences with children using the mouse themselves

👁️Variation in gaze understanding across the life span: A process-level perspective👁️

Lead: Julia Prein

We study basic social-cognitive skills across the lifespan

✅ reliable task suitable from 3 to 80
✅ computational model to explain individual differences
✅ tests of model implications