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Giulio Burgio

@giulioburgio.bsky.social
64 followers 82 following 9 posts

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

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Reposted by Giulio Burgio
Ricard Solé @ricardsole.bsky.social · 22/09/2026
We are very happy to announce the launch of Systems Ecology @systems-ecology.bsky.social, a new independent, diamond open-access journal dedicated to advancing systems-level understanding in ecology. systems-ecology.org/index.php/se Check the Founding editorial! systems-ecology.org/index.php/se...
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Reposted by Giulio Burgio
Alvaro Sanchez @asanchezlab.bsky.social · 21/08/2026
New preprint from the lab: The Latent Simplicity of Microbial Ecological Interactions www.biorxiv.org/content/10.6... We're excited about this one. We find that high-order microbial interactions often obey simple linear laws making microbial communities far more predictable than one might expect
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Reposted by Giulio Burgio
bioRxivpreprint @biorxivpreprint.bsky.social · 30/07/2026
The latent simplicity of microbial ecological interactions www.biorxiv.org/content/10.64898/20…
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Reposted by Giulio Burgio
Alvaro Sanchez @asanchezlab.bsky.social · 01/07/2026
New preprint from our lab Statistical learning of bacterial growth in combinatorially constructed environments, led by brilliant PhD student Andrea Arrabal. www.biorxiv.org/content/10.6... We systematically study nutrient-nutrient interactions in bacterial growth under carbon-limiting conditions.
biorxiv.org
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Reposted by Giulio Burgio
Alvaro Sanchez @asanchezlab.bsky.social · 09/03/2026
New preprint on the limits of detecting higher-order interactions in microbial communities. www.biorxiv.org/content/10.6... We find that the dominance of additive and pairwise interactions on community function may not reflect biological simplicity, but fundamental limits of statistical detection.
biorxiv.org
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Reposted by Giulio Burgio
Santa Fe Institute @sfiscience.bsky.social · 02/03/2026
SFI's Laurent Hébert-Dufresne (@lhd.bsky.social) is the 2026 recipient of the Young Scientist Award for Socio- and Econophysics by the German Physical Society (DPG). Honoring “outstanding original contributions that use physical methods to develop a better understanding of socio-economic problems.”
santafe.edu
Laurent Hébert-Dufresne receives Young Scientist Award
SFI External Professor Laurent Hébert-Dufresne (University of Vermont) has been named the 2026 recipient of the Young Scientist Award for Socio- and Econophysics by the German Physical Society (DPG). ...
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Reposted by Giulio Burgio
M.J. Crockett @mjcrockett.bsky.social · 22/02/2026
Many are appropriately outraged by Altman’s comments here implying that raising a human child is akin to “training” an AI model. This is part of a broader pattern where AI industry leaders use language that collapses the boundary between human and machine. 🧵/
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Giulio Burgio @giulioburgio.bsky.social · 20/02/2026
Glad this piece is out! I never understood why some literature went obsessed with hypergraphs per se when a lot had already been done (and yet ignored) for bipartite nets. What's interesting about higher-order interactions is...🥁...interactions – not how they are represented.
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Reposted by Giulio Burgio
profserious @profserious.bsky.social · 05/10/2025
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...
profserious.substack.com
10 AI Prompts for Academics
making those hard jobs a little easier ...
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Reposted by Giulio Burgio
sorianopanos.bsky.social @sorianopanos.bsky.social · 03/10/2025
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👇
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Reposted by Giulio Burgio
Vermont Complex Systems Institute @vcsi.bsky.social · 18/09/2025
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!
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Giulio Burgio @giulioburgio.bsky.social · 21/09/2025
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.
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Reposted by Giulio Burgio
Santa Fe Institute @sfiscience.bsky.social · 21/08/2025
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
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Reposted by Giulio Burgio
Vermont Complex Systems Institute @vcsi.bsky.social · 24/07/2025
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
youtu.be
IC2S2 2026 | Burlington, Vermont
YouTube video by UVM Office of Research
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Reposted by Giulio Burgio
Laurent Hébert-Dufresne @lhd.bsky.social · 07/07/2025
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
arxiv.org
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...
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Reposted by Giulio Burgio
NetScience @netscience.bsky.social · 06/07/2025
Defining and classifying models of groups: The social ontology of higher-order networks arxiv.org/abs/2507.02758
arxiv.org
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...
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Giulio Burgio @giulioburgio.bsky.social · 20/05/2025
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.
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Reposted by Giulio Burgio
SEES Lab @seeslab.bsky.social · 08/01/2025
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...
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Reposted by Giulio Burgio
Laurent Hébert-Dufresne @lhd.bsky.social · 09/12/2024
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
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.
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Reposted by Giulio Burgio
Juniper Lovato @juniperlov.bsky.social · 14/11/2024
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
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