Benjamin Steinegger

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Benjamin Steinegger

Benjamin Steinegger

@stinomat

PhD student in Complex Systems, URV

Tarragona Katılım Nisan 2018
790 Takip Edilen468 Takipçiler
Benjamin Steinegger retweetledi
Piergiorgio Castioni
Piergiorgio Castioni@pppiergiorgio·
At last, here it is! Our work on rebounds in epidemics is out in NPJ Complexity. In it we discuss under what circumstances the abrupt end of a vaccination campaign can lead to unexpected resurgences in the incidence. Check it out!
Alex Arenas@_AlexArenas

Our paper on the "Rebound in epidemic control: how misaligned vaccination timing amplifies infection peaks", is now published in npj Complexity. Collaboration wt great team @pppiergiorgio, @SergioGomezJ, and @claragranell, Excited to share these insights! bit.ly/3Z7V8O8

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Lucas Lacasa
Lucas Lacasa@wetuad·
‼️Stat Phys meets ML Want to know why more is different when swarms of neural nets are put to interact ? 🤖➕🤖🟰🦸‍♂️ We show it here 👉 journals.aps.org/prresearch/abs… 🧵Thread below ⬇️
Lucas Lacasa@wetuad

🚨Our new preprint on an Effective theory for Collective Deep Learning is now online! Work pulled off in collab with the great Lluís Arola-Fernández @IFISC_mallorca arxiv.org/abs/2310.12802 A quick thread. 1/n

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Lucas Lacasa
Lucas Lacasa@wetuad·
🚨Our new preprint on an Effective theory for Collective Deep Learning is now online! Work pulled off in collab with the great Lluís Arola-Fernández @IFISC_mallorca arxiv.org/abs/2310.12802 A quick thread. 1/n
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Alex Arenas
Alex Arenas@_AlexArenas·
Physics: Our new work towards the understanding of explosive synchronization is out @CommsPhys. We devised a mechanism to design and control abrupt synchronization, with potential application in cardiology and power-grids👇 nature.com/articles/s4200…
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Benjamin Steinegger
Benjamin Steinegger@stinomat·
Whether one considers leaky or all-or-nothing protection usually only quantitatively affects the dynamics. However, since an all-or-nothing protection is equivalent to 100% efficacy with lower adoption, these cases also differ qualitatively and phenomenologically here! 3/3
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Benjamin Steinegger
Benjamin Steinegger@stinomat·
The elevated probability of break-through infections for hubs makes a risk-based approach inefficient in a high-prevalence setting. This phenomenology can only arise if efficacy is not a 100% since otherwise break-through infections do not occur. 2/3
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Benjamin Steinegger
Benjamin Steinegger@stinomat·
More generally, our results indicate that targeting hubs is not always the best strategy. If the efficacy of a prophylactic tool is low with respect to the prevalence, preventing infections for individuals with an intermediate number of contacts is actually more efficient! 1/3
Eugenio Valdano@eugeValdano

#PrEP of HIV is often offered to those at high risk. Is it the best strategy? In nature.com/articles/s4146… we show that non-selective distribution may outperform risk-based: a logistically simpler strategy is also more effective. Out in @NatureComms, project born in @Complexity72h

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Renny
Renny@rennyzucker·
Wearing my lucky shirt
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depths of wikipedia!
depths of wikipedia!@depthsofwiki·
please stop what you’re doing and read about how physicist John Ellis coined the term “penguin diagram”
depths of wikipedia! tweet mediadepths of wikipedia! tweet mediadepths of wikipedia! tweet media
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Keşfet

@IFISC_mallorca @jmirpub @claragranell @GiacomoRapi @SergioGomezJ @jtmatamalas @sorianopanos @gomezgardenes