Where does the $$$ in Art Come From? The role of philanthropy.

https://news.northeastern.edu/2024/01/18/art-philanthropy-in-the-us

13 #PhD positions in Machine Learning, Statistics, Logic, Language Technology, and Ethics
Integreat, The Norwegian Centre for Knowledge-driven Machine Learning, https://www.jobbnorge.no/en/available-jobs/job/257181/13-phd-positions-in-knowledge-driven-machine-learning

The physics of financial networks

As the total value of the global financial market outgrew the value of the real economy, financial institutions created a global web of interactions that embodies systemic risks. Understanding these networks requires new theoretical approaches and new tools for quantitative analysis. Statistical physics contributed significantly to this challenge by developing new metrics and models for the study of financial network structure, dynamics, and stability and instability. In this Review, we introduce network representations originating from different financial relationships, including direct interactions such as loans, similarities such as co-ownership and higher-order relations such as contracts involving several parties (for example, credit default swaps) or multilayer connections (possibly extending to the real economy). We then review models of financial contagion capturing the diffusion and impact of shocks across each of these systems. We also discuss different notions of ‘equilibrium’ in economics and statistical physics, and how they lead to maximum entropy ensembles of graphs, providing tools for financial network inference and the identification of early-warning signals of system-wide instabilities.

https://www.nature.com/articles/s42254-021-00322-5

سخنرانی‌های عمومی برخط دانشکده فیزیک بهشتی

🦠 علم شبکه و مدل‌سازی پخش بیماری‌ در حضور مداخله‌‌ها (۱۵:۰۰)
📼 قوس داستانی و خم‌های عاطفی در قصه‌ها (۱۶:۰۰)

چهارشنبه ۲ اسفند ۴۰۲ ساعت ۱۵:۰۰
عباس ریزی — دانشگاه آلتو، فنلاند

شرکت برای همه از طریق این پیوند آزاد و رایگان است:

🔗 meet.google.com/whe-obvb-ger

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DAMUT Colloquium | 28 Feb, 2024, 12:45 to 13:15
Department of Applied Mathematics, University of Twente (UT)

Consequences of Social Network Structure for Epidemic Interventions

Abbas K. Rizi (Aalto University)

Abstract:
The COVID-19 pandemic has highlighted gaps in our understanding of how epidemics spread and the limitations of simple models in real-world scenarios, particularly when it comes to understanding herd immunity. In this presentation, we will focus on how the structure of contact networks affects the spread of disease and the effectiveness of interventions. We will explore the impact of pharmaceutical interventions, such as vaccination, and non-pharmaceutical measures, like contact tracing, on the trajectory of epidemics. We will consider factors such as behavior-based homophily, group structures, spatial characteristics, and the heterogeneities of contact networks. Additionally, we will introduce an advanced theoretical framework for analyzing temporal dynamics in networks, which is crucial for understanding how diseases spread, how information is disseminated, and how public transportation systems are accessed over time. Finally, we will connect the concept of temporal network reachability with percolation theory, a significant concept in studying complex systems.

https://www.utwente.nl/en/eemcs/damut/damutcolloquium/

Configuration models for random directed hypergraphs
Yanna J. Kraakman, Clara Stegehuis

Many complex systems show non-pairwise interactions, which can be captured by hypergraphs. In this work, we establish configuration models in which both the vertex and the hyperarc degrees are preserved for different classes of directed hypergraphs (containing self-loops, degenerate hyperarcs and/or multiple hyperarcs). We propose an edge-swapping method to uniformly sample from these configuration models and prove that this method indeed samples uniformly from the classes with self-loops and multiple hyperarcs, and that the method does not sample uniformly from classes without self-loops, or with self-loops and degenerate hyperarcs but without multiple hyperarcs. We present a partial result on the class with self-loops, but without degenerate hyperarcs or multiple hyperarcs.

https://arxiv.org/abs/2402.06466

Interested in network dynamical systems with higher-order interactions? Apply for a #PhD at the Vrije Universiteit Amsterdam
https://workingat.vu.nl/vacancies/beyondtheedge-phd-position-in-network-dynamical-systems-amsterdam-1059512

قوس داستانی و خم‌های عاطفی در قصه‌ها

کِرْت وانه‌گت، نویسنده فقید آمریکایی، معتقد بود که تمام داستان‌ها را می‌توان بر اساس شکل روایی و قوس داستانی آن‌ها به دسته‌های انگشت‌شماری طبقه‌بندی کرد. این ادعا سال‌ها بعد به صورت کمی راستی‌آزمایی شد. در این ارائه ابتدا ادبیات داستان‌پردازی محاسباتی را مرور می‌کنیم. سپس نشان می‌دهیم که سریال‌های ترکی در سال‌های گذشته عمدتا چه نوع قوس داستانی داشته‌اند و کم و کیف موفقیتشان در گیشه چگونه بوده است.

📃 اسلایدها
🎙فایل صوتی
🎞 ویدیو در یوتیوب
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#سیتپـــــور به خاطر روایتگری در علم

🔻 انجمن علمی فیزیک دانشگاه شیراز برگزار می‌کند:

📌 چهارمین مدرسه زمستانی فیزیک آماری و سامانه‌های پیچیده

🎙 باحضور:
دکتر افشین منتخب
دکتر فرهاد شهبازی
دکتر محسن قاسمی‌نژاد
دکتر ابوالفضل رمضان‌پور


زمان برگزاری: پنج شنبه ۱۷ اسفندماه
ساعت ۹ الی ۱۷:۳۰

📍 محل برگزاری: سالن کنفرانس بخش فیزیک
 
🔊مخاطبان: دانشجویان، اساتید و فارغ التحصیلان رشته‌های ریاضی، فیزیک، علوم کامپیوتر و رشته های مرتبط و دیگر علاقه‌مندان.

❗️ به همراه پذیرایی و ناهار

⭕️ علاقه‌مندان محترم جهت کسب اطلاعات بیشتر و ثبت‌نام، می‌توانند کد درج شده در پوستر را اسکن، و یا از طریق لینک زیر اطلاعات لازم را دریافت کنند:
https://evnd.co/EsEAw


@ShirazUPhysics 💡

#PhD Scholarship in Network Science

https://www.jobs.ac.uk/job/DGH718/northeastern-university-london-fully-funded-phd-scholarship-network-and-data-science-to-model-the-behaviour-of-complex-systems-of-human-and-non-human-social-animals

Deadline: 1 April 2024
Start date: 1 October 2024

Summer School:
Mathematical Methods in Computational Neuroscience
8 July - 26 July 2024, Fred Kavli Knowledge Center, Eresfjord, Norway

https://www.compneuronrsn.org/

A #PhD project is available as part of a NEXUS grant from the Institute ExposUM of the University of Montpellier, France.


The PhD project "Preparing the critical care system for future health crises" will be co-supervised by Mircea T. Sofonea, Jean-Yves Lefrant (both at University of Montpellier & Nîmes University Hospital) and by Rémi Choquet (CEFE, Montpellier).

https://evolepid.cefe.cnrs.fr/nexus/EMIPSA_NEXUS2024_Sujet4_EN.pdf

Geoffrey West | Johns Hopkins Natural Philosophy Forum Distinguished Lecture, 2024

https://www.youtube.com/watch?v=pjJFzZpBN2c

2-year #postdoc opening in our project "Learning the meso-scale organization of complex networks"

https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-research-associate_0116091-1

Wastewater-based Epidemiology for COVID-19 Surveillance: A Survey

https://arxiv.org/abs/2403.15291

The pandemic of COVID-19 has imposed tremendous pressure on public health systems and social economic ecosystems over the past years. To alleviate its social impact, it is important to proactively track the prevalence of COVID-19 within communities. The traditional way to estimate the disease prevalence is to estimate from reported clinical test data or surveys. However, the coverage of clinical tests is often limited and the tests can be labor-intensive, requires reliable and timely results, and consistent diagnostic and reporting criteria. Recent studies revealed that patients who are diagnosed with COVID-19 often undergo fecal shedding of SARS-CoV-2 virus into wastewater, which makes wastewater-based epidemiology (WBE) for COVID-19 surveillance a promising approach to complement traditional clinical testing. In this paper, we survey the existing literature regarding WBE for COVID-19 surveillance and summarize the current advances in the area. Specifically, we have covered the key aspects of wastewater sampling, sample testing, and presented a comprehensive and organized summary of wastewater data analytical methods. Finally, we provide the open challenges on current wastewater-based COVID-19 surveillance studies, aiming to encourage new ideas to advance the development of effective wastewater-based surveillance systems for general infectious diseases.

علم شبکه و مدل‌سازی پخش بیماری‌ در حضور مداخله‌‌ها

در دو دهه گذشته، مدل‌سازی پخش بیماری‌های عفونی در جوامع به کمک ابزارهای فیزیک آماری و علم شبکه گسترش فراوانی داشته. در این ارائه، به اثرات ویژگی‌های شبکه‌‌های اجتماعی بر اثربخشی مداخله‌های دارویی و غیر دارویی همچون واکسیناسیون و رهگیری تماس می‌پردازیم. به طور خاص نشان می‌دهیم ویژگی‌هایی مانند ناهمگنی‌های ارتباطی، هوموفیلی رفتاری، اندازه گروه‌های اجتماعی و تحولات زمانی شبکه‌‌ها چگونه می‌توانند در بهبودبخشی اثرات مداخله‌ها نقش داشته باشند.

📃 اسلایدها
🎧 فایل صوتی
🎞 ویدیو در یوتیوب

🔗 جزئیات بیشتر:
https://www.sitpor.org/2024/03/spreading_epidemic_interventions/
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@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم