Our team had an amazing week at @ic2s2.bsky.social in Norrköping Sweden and we will post pictures of our posters and talks soon - the big news is that we're so excited to host #IC2S2 in Burlington in 2026! youtu.be/p412S4GnPkc
24.07.2025 20:00 — 👍 29 🔁 15 💬 0 📌 0
Not sure we'll ever understand adaptive systems enough. But what we're sure of is that one basic reason is that you can't even start to describe them properly w/o preserving local dynamical correlations.
A fun and frustrating long way to go.
w/ the amazing @lhd.bsky.social & @gstonge.bsky.social.
20.05.2025 16:11 — 👍 4 🔁 1 💬 0 📌 0
During a pandemic such as COVID19, we hope (but fail) to accurately estimate the incidence of the disease. In this paper, we propose a new approach to machine-learn models of the real incidence from readily available information (tests and detected cases) dx.doi.org/10.1371/jour...
08.01.2025 17:12 — 👍 5 🔁 2 💬 1 📌 0
Cartoon of a top-down central state combined with a local network of decisions units.
Cartoon of decisions as a statisfiability problem (decision network) where each decision is solved by a higher-order network (governance network) of agents with their own opinions on what decisions should be made.
Some decisions are best made quickly and locally. Governance can work better as a higher-order network, not a pyramid around a central state. How should we design these networks?
We looked at this with law and complexity scholars and found "effective governance" networks.
arxiv.org/abs/2412.03421
09.12.2024 15:43 — 👍 50 🔁 21 💬 5 📌 0
We are thrilled to share our new pre-print, “Self-Reinforcing Cascades: A Spreading Model for Beliefs or Products of Varying Intensity or Quality,” now available on arXiv! arxiv.org/pdf/2411.00714
14.11.2024 14:05 — 👍 18 🔁 7 💬 3 📌 1
