Analytical sociologist | Research fellow at IAST 🇫🇷
Interested in sociology, polarization, computational social science, abm, coffee and climbing
Marijn Keijzer
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Third, we apply the framework to a large re-analysis of experimental data:
📊 ~300,000 choices in
🧪 15 experimental studies spanning
⚙️ 300 unique conditions
This reveals how influence curves vary across different choice settings.
4/4
Travel grants 📣
For the 13th Toulouse Economics & Biology Workshop (June 1–2, 2026, @IAST) we have travel fellowships for PhDs & early-career researchers presenting a poster. Apply by Feb 27! Details: www.iast.fr/conferences/...
First, we introduce a model of social influence with meaningful parameters that can be interpretable building blocks for social science theory.
Instead of just fitting behavior, the model lets us describe how people respond to social information.
2/4
Second, we introduce metrics that capture the long-term consequences of social influence.
Does a small early advantage get amplified? → dominance and lock-in
Will the superior option prevail? → regression
These metrics connect individual responses to collective outcomes.
3/4
How does social influence shape collective outcomes? When does it lead to lock-in on inferior options?
In our 🚨 new preprint 📝 osf.io/preprints/so... we make three contributions
w/ @alexgelas.bsky.social Alex Jochim @leostnbrk.bsky.social Peter Steiglechner & @pantelispa.bsky.social
🧵1/4
The lineup is amazing by the way 🔥
@pantelispa.bsky.social @baronca.bsky.social @jennabednar.bsky.social Cristina Bicchieri @smconstantino.bsky.social @kaledadenton.bsky.social @charlesefferson.bsky.social Vincenz Frey, Mirta Galesic, Thomas Morgan,
and some IAST folks!
