🚨 What we know & don’t know about #monkeypox, & how to think about the current outbreak.
One thing: It’s unique partly because it’s, er, happening amid a pandemic. Our reactions are deeply influenced by the last 3 years—in good & bad ways...
https://t.co/SvEntsKEd3
One thing: It’s unique partly because it’s, er, happening amid a pandemic. Our reactions are deeply influenced by the last 3 years—in good & bad ways...
https://t.co/SvEntsKEd3
The Atlantic
So, Have You Heard About Monkeypox?
A new viral outbreak is testing whether the world has learned anything from COVID.
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Forwarded from انجمن علمی فیزیک شریف (Ali Ekramian)
⭕️ سمینارهای فیزیک آماری ⭕️
💡 موضوع ارائه: چرا از فواصل موسیقی لذت می‌بریم؟
🗣 ارائه دهنده: علیرضا ولیزاده (دانشگاه تحصیلات تکمیلی علوم پایه‌ی زنجان زنجان)
📅 زمان ارائه: یک‌شنبه ۱ خرداد، ساعت ۱۵:۰۰
🚪 محل برگزاری:
اتاق ۵۱۲ دانشکده‌ی فیزیک
و همزمان در اتاق مجازی گروه فیزیک آماری
💢#اطلاع_رسانی_سمینارهای_دانشکده
💢#سمینار_فیزیک_آماری
💢#دکتر_مقیمی #دکتر_قنبرنژاد #دکتر_روحانی
🆔 @anjoman_elmi_phys_sut
💡 موضوع ارائه: چرا از فواصل موسیقی لذت می‌بریم؟
🗣 ارائه دهنده: علیرضا ولیزاده (دانشگاه تحصیلات تکمیلی علوم پایه‌ی زنجان زنجان)
📅 زمان ارائه: یک‌شنبه ۱ خرداد، ساعت ۱۵:۰۰
🚪 محل برگزاری:
اتاق ۵۱۲ دانشکده‌ی فیزیک
و همزمان در اتاق مجازی گروه فیزیک آماری
💢#اطلاع_رسانی_سمینارهای_دانشکده
💢#سمینار_فیزیک_آماری
💢#دکتر_مقیمی #دکتر_قنبرنژاد #دکتر_روحانی
🆔 @anjoman_elmi_phys_sut
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Concept of #emergence - a well-recognized phenomenon which characterizes complex systems. https://t.co/SKibTGNknq
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What defines complexity? Answer: Emergent properties, i. e. when a system exhibits order at one scale that is irreducible to the properties of its parts. https://t.co/VkkDLHpSxl
Twitter
Ricard Solé
What defines complexity? Answer: Emergent properties, i. e. when a system exhibits order at one scale that is irreducible to the properties of its parts. Here's a whole @RSocPublishing issue edited by @manlius84 & Oriol Artime. A lot of great examples. r…
I am recruiting two fully funded PhD to join my network science research group at the Uni Zurich to work on mathematical methods for networks, complex systems and digitalization. https://t.co/LPYpRAJwaI
Twitter
Alexandre Bovet
Please help circulate: I am recruiting two fully funded PhD to join my network science research group at the Uni Zurich @UZH_Science to work on mathematical methods for networks, complex systems and digitalization with @UZH_dsi More info 👉tinyurl.com/2xdrpac2
Analyzing rankings/orderings is surprisingly hard when data are incomplete or noisy. New letter in Physical Review E addressing these problems, including ordering events in growing networks. https://t.co/Z53r3zWAz1
Physical Review E
Belief propagation for permutations, rankings, and partial orders
Many datasets give partial information about an ordering or ranking by indicating which team won a game, which item a user prefers, or who infected whom. We define a continuous spin system whose Gibbs distribution is the posterior distribution on permutations…
Statistical physics rejects theory of 'two Ukraines'
https://phys.org/news/2022-05-statistical-physics-theory-ukraines.html
https://phys.org/news/2022-05-statistical-physics-theory-ukraines.html
phys.org
Statistical physics rejects theory of 'two Ukraines'
When reading news and analyses of the Russian invasion of Ukraine, researchers in Spain perceived many conflicting messages being transmitted. The most notable one is the theory of "two Ukraines" or the ...
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When is a network tree-like and how does it help in exploring dynamics?
https://youtu.be/PF6lakapOhQ
Konstantin Klemm- IFISC
Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster sizes, epidemic thresholds, and Ising/Potts partition functions and magnetization are among such properties. That method is exact only when the network is a tree: removal of one inner node leaves the network fragmented, with each fragment again separable in the same way. A generalization of this recursive separation is called tree-decomposition of width k, allowing a set of up to k nodes as a separator in each step. In this talk, I show (i) how to find useful tree-decompositions and (ii) how to employ these to efficiently compute exact properties of the Ising model and other stochastic processes with detailed balance.
https://youtu.be/PF6lakapOhQ
Konstantin Klemm- IFISC
Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster sizes, epidemic thresholds, and Ising/Potts partition functions and magnetization are among such properties. That method is exact only when the network is a tree: removal of one inner node leaves the network fragmented, with each fragment again separable in the same way. A generalization of this recursive separation is called tree-decomposition of width k, allowing a set of up to k nodes as a separator in each step. In this talk, I show (i) how to find useful tree-decompositions and (ii) how to employ these to efficiently compute exact properties of the Ising model and other stochastic processes with detailed balance.
YouTube
When is a network tree-like and how does it help in exploring dynamics?
- By: Konstantin Klemm
- Affiliation: IFISC
Date: 2021-06-09T114:30:00+00:00
Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster…
- Affiliation: IFISC
Date: 2021-06-09T114:30:00+00:00
Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster…
DEADLINE Extended to 5th June! CODATA-RDA Research Data Science Summer School 2022: apply to participate in person or online
https://t.co/TbIceCEKXz
https://t.co/TbIceCEKXz
Quantifying relevance in learning and inference!
seminar tomorrow 2:00 pm CET accompanying their recent review in Physics Reports.
https://t.co/6xfZduvJkx
seminar tomorrow 2:00 pm CET accompanying their recent review in Physics Reports.
https://t.co/6xfZduvJkx
Conference in Yerevan, (Armenia) https://t.co/KRSs6c5uBe Goldenfeld, Koonin, Saakian, Hogeweg, Wolpert, Kaneko, Takeuchi, Kolchinsky and so many other great scholars.
Opening for a #postdoc position at the CPT in Marseille, to work with me on the relations between pedestrian models and contact networks. #sociophysics #complexnetworks More information here: https://t.co/5XP8OKT1Tz
Complex Systems Studies
Disorder in complex systems school for graduate students and postdocs, June 7-17 2022, see https://t.co/lDYvL6BL97 Pascal of Paris Saclay University offers an intensive 2 weeks introduction to the physics of disorder and complex systems.
Introduction to the statistical physics of phase transitions and critical phenomena (lecture notes) - Emmanuel Trizac (LPTMS, Paris-Saclay/CNRS)
School on disorder in complex systems at Institut Pascal (June 2022)
http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022.html
School on disorder in complex systems at Institut Pascal (June 2022)
http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022.html
Order through entropy - Daan Frenkel
Understanding entropic contributions to common ordering transitions is essential for the design of self-assembling systems with addressable complexity
http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022/Frenkel_entropy_2014.pdf
Understanding entropic contributions to common ordering transitions is essential for the design of self-assembling systems with addressable complexity
http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022/Frenkel_entropy_2014.pdf
#PhD scholarship available in nonlinear dynamics, data analysis, complex systems.
Applicants should send to cristina.masoller@upc.edu: CV and academic record with the grades obtained bachelor and master studies. More info:
http://www.fisica.edu.uy/~cris/phd_offer.htm
Applicants should send to cristina.masoller@upc.edu: CV and academic record with the grades obtained bachelor and master studies. More info:
http://www.fisica.edu.uy/~cris/phd_offer.htm
#postdoc position in the study of group information dynamics both online/offline.
http://eddielee.co/positions.html
http://eddielee.co/positions.html
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J.M. Kosterlitz presents an overview on topological aspects in phase transitions!
Link: universite-paris-saclay-fr
John Michael Kosterlitz is a British-American physicist. He is a professor of physics at Brown University and the son of biochemist Hans Kosterlitz. He was awarded the 2016 Nobel Prize in physics along with David Thouless and Duncan Haldane for work on condensed matter physics.
Link: universite-paris-saclay-fr
John Michael Kosterlitz is a British-American physicist. He is a professor of physics at Brown University and the son of biochemist Hans Kosterlitz. He was awarded the 2016 Nobel Prize in physics along with David Thouless and Duncan Haldane for work on condensed matter physics.
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Early-career researchers, you might be interested in the Summer School on Data + Algorithms for Science, Technology & Innovation Studies to be held #KU_Leuven Sept 21-23. Proposals due by June 24th! Participation is free of charge!
https://t.co/a6ABGix6nt
https://t.co/a6ABGix6nt
#PhD position, please RT!
Come to beautiful Zurich for a fully funded PhD on Social Mobility / Social Networks / Labour Market (Segregation) with an outstanding team. Lots of flexibility and excellent working conditions
https://t.co/T34JrJ7o01
Come to beautiful Zurich for a fully funded PhD on Social Mobility / Social Networks / Labour Market (Segregation) with an outstanding team. Lots of flexibility and excellent working conditions
https://t.co/T34JrJ7o01