🚨 Paper alert 🚨 New ABM simulating recruitment dynamics via incentivized recommendations. For a given opening, an agent may recommend it to peers or apply. If someone is hired, everyone in the chain is rewarded. We also reproduce chain-length distributions of classic experiments. 📰 t.co/QDjIV4NnfJ

🚨 Fresh from ArXiv: “Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models” with @marcopangallo.bsky.social, @c0rrad0.bsky.social, & @gdfm.bsky.social 👉 arxiv.org/abs/2509.17625

Last month, we published "From chambers to echo chambers: quantifying polarization with a second-neighbor approach applied to Twitter’s climate discussion" 🌍🔥 We find stable climate echo chambers despite ~90% weekly user churn, and show how events like #FridaysForFuture can disrupt polarization.

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