Sebastian Hellmann

📢 @markkho.bsky.social & I are recruiting a joint postdoc interested in computational models of social interaction & mental health

💻 Ideal candidates have experience w/ multi-player web-based experiments & computational modeling

📅 Apps are reviewed on a rolling basis

🔗 apply.interfolio.com/165809

Confidence in absence as confidence in counterfactual visibility: a CogSci proceedings paper with star MSc student Maya Schipper, is now out on PsyArXiv:

osf.io/preprints/ps...

🧵👇

🚨 PhD position (75%, TV-L E13) at LMU Munich!
Join our DFG funded META REP project on heterogeneity & replicability in psychology.
Work on meta analysis, simulations, modeling in R/Python.
📅 Apply by July 15
🔗 shorturl.at/939tP
🔗 shorturl.at/2bRLD
👇🧵

#EduSky A must-read esp. if you use AI tools, are being made to "just try them" at school, or are having your students use them.

Thanks so much, also for your support and your wisdom. It has been a pleasure to be your Padawan ;)

🧠 Job Alert: Postdoc Position Available!
We're hiring a postdoc as part of the exciting DFG Research Unit on Belief Updating 🔬
🔍 What we're looking for:
Strong quantitative skills & passion for belief updating research
📍 Location: University of Hamburg
⏰ Duration: 2 years, full-time
🔗 Link below

Hairy ball theorem - Wikipedia

'How is this economics?'
en.m.wikipedia.org/wiki/Hairy_b...

Please spread the word!

Psych Science is recruiting volunteers to help conduct computational reproducibility checks.
If you have experience writing reproducible analysis scripts in psychology, and want to join the team, please apply!

www.psychologicalscience.org/publications...

🎉 Thrilled to share the press releases of our study 🎉
English from @elife.bsky.social: elifesciences.org/for-the-pres...
German from @uni-hamburg.de: www.uni-hamburg.de/newsroom/pre...

Dynamic modulation of confidence based on the metacognitive skills of collaborators! Now out in @cognitionjournal.bsky.social New work from
@felixhermans.bsky.social Simon Gaia @majafr.bsky.social
and me! Paper here: pubmed.ncbi.nlm.nih.gov/40262423/ Details ↓↓↓

Postdoc Opportunity in Cognitive Computational Neuroscience 🧠
Join us at TU Dresden (Germany) to model decision-making + brain data using probabilistic modelling

📅 Apply by April 30, 2025
🔗 tud.link/9d2n92

Please share! 🔁

#compneuro #CognitiveNeuroscience #postdoc @bernsteinneuro.bsky.social

Model-Based Neuroscience and Cognition Summer School Visit the post for more.

Join us in Amsterdam for the 11th Model-Based Neuroscience & Cognition Summer School. Gain a solid foundation in Bayesian evidence-accumulation modeling and explore its integration with neuroscience or advanced computational frameworks, including reinforcement-learning models. modelbasedneurosci.com

Podcast: Maja Göpel, Transformationsforscherin „Wir können alles lösen, solange wir uns entscheiden, zusammenwirken zu wollen.“ Ihr Thema ist die Veränderung und die Frage, warum es uns genau die so schwerfällt. Maja Göpel ermuntert zu einem positiven Blick auf die Probleme unserer Zeit. Statt nur über Zumutungen zu lamentiere...

Die Blaue Couch ist ein sehr schönes Format mit viel Zeit und einer tollen Moderatorin: herzlichen Dank #DominiqueKnoll

www.ardaudiothek.de/episode/blau...

Congratulations to @linushof.bsky.social from our lab @tum.de for being the runner-up at this year’s #teap2025 poster competition! His research shows that people search adaptively in decisions from experience.

The short paper on the statConfR package together with Sascha Meyen and @sehellmann.bsky.social has now been published. Reviews in JOSS are not only about the paper but also the code, which I think is a great idea, especially for cognitive modelling.

StatConfR v. 0.2.0 for static models of decision confidence and measures of metacognitive efficiency is now available on CRAN. Thanks to Sascha Meyen, the package now includes information-theoretic measures of #metacognition. Also, the package can now be used to visualize model fits.

Serial dependence of confidence judgments reveals metacognitive adaptation: http://osf.io/f35br_v1/

A scientific image showing an original image (grayscale dog), the same image after processing with oriented edge filters, and then the spectral power as a function of orientation.

New from my lab: "Priors for natural image statistics inform confidence in perceptual decisions"

We used a natural image statistics approach to investigate the computations underlying perceptual confidence. 🧵

Article: www.sciencedirect.com/science/arti...

Metacognitive confidence and affect – two sides of the same coin? Decision confidence is a prototypical metacognitive representation that is thought to approximate the probability that a decision is correct. The perception of being correct has also been associate...

Why does it feel good to be sure? In new work @voalan.bsky.social @andero.bsky.social and I bridge confidence and affect. In perceptual DM, we found a remarkably consistent association between both measures! ↓↓↓

link: www.tandfonline.com/doi/full/10....
#PsychSciSky #Neuroscience #Neuroskyence

Fresh out: a short review article where I give an overview of different ways that across-trial temporal structure is helpful in understanding cognitive models of decision-making

osf.io/preprints/ps...

Domain-specific updating of metacognitive self-beliefs Metacognitive self-monitoring is thought to be largely domain-general, with numerous prior studies providing evidence of a metacognitive g-factor. The…

In a new study, we show that while metacognitive confidence is domain-general, updating self-beliefs is highly domain-specific across memory, vision, and semantic knowledge. Our findings illuminate how metacognitive experiences refine self-assessments. #psych 🧪 www.sciencedirect.com/science/arti...

Hey, could you add me, too, please?
Thanks a lot!

Thanks for teaching me so much @manurausch.bsky.social !

New preprint together with @manurausch.bsky.social about the importance to consider decision time when reflecting on the accuracy of a decision, showing that considering decision time in confidence is Bayes optimal and human observers seem to make use of this information.
osf.io/preprints/ps...