Complex Systems Studies – Telegram
Complex Systems Studies
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What's up in Complexity Science?!
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@ComplexSys

#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
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"Geometry of Neuroscience" -- a course by Matilde Marcolli

https://t.co/wCIHc1MlLA
💰 Interested in studying brain computations using functional imaging, behavior, physiology, applied mathematics and #zebrafish, at @KISNeuro, @NTNUnorway, on a project funded by @forskningsradet ? We are hiring, join us ! https://t.co/cHQHXiQVBF
💰 New #postdoc position to develop novel models of large-scale brain dynamics, and use these to uncover brain activity causing OCD

https://t.co/TxtwlHYVyt
A thread on a working paper ‘Why U.S. Immigration Barriers Matter for the Global Advancement of Science’

https://t.co/XnuwTQGkcz
💉 Is it a good idea to delay the second jab? "We should stick with what’s been proven to work. We don’t want to be creative for some unclear benefit and then have an unexpected problem."
https://t.co/9Aan3D0aW7
INHOMOGENEOUS RANDOM SYSTEMS
26-27 January 2021 Online

http://irs.math.cnrs.fr/2021/

The aim of this annual workshop is to bring together mathematicians and physicists working on disordered or random systems, and to discuss recent developments on themes of common interest. Each day is devoted to a specific topic.

Tuesday 26 January:
Structure and function of complex networks: epidemics and optimization. Titles and abstracts

Wednesday 27 January:
Statistical Physics of Active Matter. Titles and abstracts

The conference and online participation are free and open to all. To receive your connection link, please register in advance by sending an e-mail with your name and affiliation to:

inter@math.cnrs.fr with subject: IRS 2021
Random minimum spanning trees

Christina Goldschmidt from the Department of Statistics in Oxford talks about her joint work with Louigi Addario-Berry (McGill), Nicolas Broutin (Paris Sorbonne University) and Gregory Miermont (ENS Lyon) on random minimum spanning trees.

https://www.maths.ox.ac.uk/node/30217
😷 An evidence review of face masks against COVID-19 [Medical Sciences]

https://t.co/Dm3OcaA8mB
💉 Can you spread Covid-19 if you get the vaccine?

The reason we don’t know if the vaccine can prevent transmission is twofold. One reason is practical. The first order of business for vaccines is preventing exposed individuals from getting sick, so that’s what the clinical trials for Covid-19 shots were designed to determine. We simply don’t have public health data to answer the question of transmission yet.

The second reason is immunological. From a scientific perspective, there are a lot of complex questions about how the vaccine generates antibodies in the body that haven’t yet been studied. Scientists are still eager to explore these immunological rabbit holes, but it could take years to reach the bottom of them.

To prevent Covid-19 transmission, another type of antibodies could be the more important player. The immune system that patrols your outward-facing mucosal surfaces—spaces like the nose, the throat, the lungs, and digestive tract—relies on immunoglobulin A, or IgA antibodies. And we don’t yet know how well existing vaccines incite IgA antibodies.

People who get sick and recover from Covid-19 produce a ton of these more-specialized IgA antibodies. Because IgA antibodies occupy the same respiratory tract surfaces involved in transmitting SARS-CoV-2, we could reasonably expect that people who recover from Covid-19 aren’t spreading the virus any more. (Granted, this may also depend on how much of the virus that person was exposed to.)

But we don’t know if people who have IgG antibodies from the vaccine are stopping the virus in our respiratory tracts in the same way. And even if we did, scientists still don’t know how much of the SARS-CoV-2 virus it takes to cause a new infection. So even if we understood how well a vaccine worked to prevent a virus from replicating along the upper respiratory tract, it’d be extremely difficult to tell if that would mean a person couldn’t transmit the disease.
Announcing the 2021 Summer Institutes in Computational Social Science. #SICSS is for grad students, post-docs & beginning faculty. Free for participants.

https://t.co/wolhtZIMc5
Some mostly-tongue-in-cheek solution to the Fermi Paradox: the aliens are out there, but they look like black body radiators, because they're really smart and encode their communication optimally: https://t.co/YwkRAIpnPZ
💰Interesting in doing a #PhD on immune system networks: https://t.co/a0vx7Nojth ?

Two Doctoral studentship (DPhil) opportunities in Mathematics, University of Oxford.
Closing Date:
Friday, March 5, 2021 - 12:00

Modelling Cytokine Interactions: simulating network dynamics under uncertainty for cytokine targeting treatments of auto-immune and inflammatory diseases (code CKGSK)

AND

Network stability in auto-immune diseases (code STABI)

Applications are invited for two 4 year D.Phil. iCASE Studentships in Mathematics, funded by GlaxoSmithKline and the EPSRC.
💰 Great opportunity to work as a junior researcher (ideally pre-PhD) at ISI. You will work for 1 year on data science applied to different projects with social impact. Competitive salary. You must take legal residency in Piedmont to accept the scholarship. Apply!

https://www.isi.it/en/lagrange-project/scholarships
💡 Ten simple rules for tackling your first mathematical models: A guide for graduate students by graduate students

https://t.co/znbENQbAXJ
If you are analysing #networks and would like to use #community #detection algorithms (at least >50 of them are available) in an #standard and comparable way, have a look at #CDlib library in Python presented in this paper: https://t.co/kxnQKO3bwq
💉 The idea of using RNA in vaccines has been around for nearly three decades. But it's taken the pandemic to thrust RNA vaccines into the limelight.

https://www.nature.com/articles/d41586-021-00019-w