Jonas Haslbeck

@jmbh.bsky.social

Postdoc @ University of Amsterdam; working on Applied Statistics, Time Series Modeling, Dynamical Systems, Generative AI, Climate Change; www.jonashaslbeck.com

After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...

WARN-D machine learning competition is live » Eiko Fried

If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...

eiko-fried.com

Happy to share that our large-scale network analysis is now out in @nathumbehav.nature.com We show that networks are often supported by too little evidence from the data for results to be reported with confidence, not meaning that results are flawed but rather suggests caution in interpretation.

Nature Human Behaviour@nathumbehav.nature.com · 10mo ago

Psychometric network models have become increasingly popular in psychology and the social sciences. Huth et al. show that many reported network findings are based on weak or inconclusive evidence inviting caution when interpreting results.

Two new preprints on multilevel HMMs! Time series data is now pervasive in psychology and new methods are needed to model the dynamics in such data. Hidden Markov Models (HHMs) are powerful models for dynamics in which a system is switching between a number of discrete states.

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The second day of ACSCC was again full of inspiring lectures and discussions! Day two was kicked-off by the keynote of Tim Lenton, who gave an introduction to tipping points and an update on the latest research, followed by a discussion about effective leverage points using positive tipping points.

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The second edition of ACSCC is officially underway! We had a fantastic first day, welcoming over 40 participants from a wide range of disciplines — including economists, lawyers, social scientists, metallurgists, and more. Once again, we are blessed with wonderful sunny weather here in Amsterdam! ☀️

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1/3 Tutorial on exploring ecological momentary assessment data is online at AMPPS, with: - Accessible ways to visualize data for better understanding - Models to get some first insights - Further reading boxes for more advanced topics - Reproducible pipeline you can run over your own data

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