Giulio Burgio's Avatar

Giulio Burgio

@giulioburgio.bsky.social

Postdoc @asanchezlab.bsky.social‬ @ibfg.bsky.social Former Postdoc @vcsi.bsky.social | MSCActions PhD Fellow @urv.cat‬ Physics of Complex Systems

53 Followers  |  73 Following  |  2 Posts  |  Joined: 21.11.2024  |  1.719

Latest posts by giulioburgio.bsky.social on Bluesky

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10 AI Prompts for Academics making those hard jobs a little easier ...

Here are your 10 -essential- AI prompts for academics ... make your life easy with help from @profserious.bsky.social profserious.substack.com/p/10-ai-prom...

05.10.2025 07:55 — 👍 117    🔁 37    💬 6    📌 14
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Really happy to see this out in PRX Life! There you can find an eco-evolutionary framework integrating the evolution of viral infectiousness and antigenic features. While the former determines contagion events among hosts, the latter tells us how quickly viruses can escape population immunity 1/4👇

03.10.2025 08:03 — 👍 11    🔁 7    💬 3    📌 0

Excited about this paper and the interactive story to accompany it. Congrats @lhd.bsky.social @juniperlov.bsky.social @giulioburgio.bsky.social @sfiscience.bsky.social @unioflimerick.bsky.social and nice story telling @jstonge.bsky.social!

18.09.2025 18:59 — 👍 5    🔁 3    💬 0    📌 0

Very cool interactive story, @jstonge.bsky.social!

"[...] real social cascades aren't simply branching processes with fixed rules." A self-reinforcing mechanism is what we propose in a recent piece led by the one and only @lhd.bsky.social.

21.09.2025 14:58 — 👍 4    🔁 1    💬 0    📌 0
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It might start as a joke, belief, or rumor, easy to dismiss. But then it twists, builds momentum, and spreads like wildfire. Why do some ideas die out while others go viral?

A new study by researchers from the University of Vermont and the Santa Fe Institute offers answers: santafe.edu/news

21.08.2025 20:01 — 👍 26    🔁 9    💬 2    📌 2

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
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Defining and classifying models of groups: The social ontology of higher-order networks In complex systems research, the study of higher-order interactions has exploded in recent years. Researchers have formalized various types of group interactions, such as public goods games, biologica...

There's amazing work on group effects in higher-order networks, but not a lot of connections to social ontology, collective action, and group selection.

Led by @jstonge.bsky.social with expert guidance of @rharp.bsky.social we reviewed and formalized these connections.

arxiv.org/abs/2507.02758

07.07.2025 15:30 — 👍 16    🔁 6    💬 2    📌 0
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Defining and classifying models of groups: The social ontology of higher-order networks In complex systems research, the study of higher-order interactions has exploded in recent years. Researchers have formalized various types of group interactions, such as public goods games, biologica...

Defining and classifying models of groups: The social ontology of higher-order networks arxiv.org/abs/2507.02758

06.07.2025 08:52 — 👍 9    🔁 3    💬 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 — 👍 5    🔁 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 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.

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
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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

@giulioburgio is following 20 prominent accounts