Complex Systems Studies

[NetSci Newsletter] Newsletter April 2024 Newsletter April 2024 Question of the Month You want to lay out some domino pieces in a single line such that adjacent pieces show the same number on the halves facing each other. After some failed attempts, you start wondering if this is even possible with the pieces that you have. Which famous mathematician comes to mind? NetSci Education Netsci2024: Educational Video Competition Channel your excitement about network science to engage and educate the public! Goal of the competition: To increase the broad visibility and relevance of network science with videos on interesting, surprising, useful, or otherwise intriguing concepts in the field. Format of submissions: 2-3 minute educational videos on a network concept of your choice. Videos should be entertaining and informative and focused on a topic in network science that excites you. Feel free to choose topics that are close to your own research or that you are personally passionate about. Target audience: Members of the public who take an interest in science. Think of the audience for popular science journals like Scientific American, New Scientist, Quanta Magazine, etc. Prizes and dissemination: Awards will be presented at NetSci 2024 to the top ranked submissions ($300 for 1st place, $200 for second place, and $100 for third place). Selected videos will be promoted by the Network Science Society on social media and screened at NetSci 2024 Deadline: Submit your video by May 15, 2024. Link: https://forms.gle/1pS8r7tUWHJuBgTq6 A Short First Course in Network Science Online, June 3-14, 2024 About: Networks are present in all aspects of our lives: networks of friends, computers, web pages, and roads are examples that we experience outwardly, while our brain cells and the proteins within our body form networks that determine our cognition and health. This introductory online short course explores the study of networks and how they help us understand the complex interaction patterns that shape our lives. Target audience: A broad interdisciplinary-minded audience of learners. The course has no technical prerequisites other than some introductory programming and a willingness to learn by doing. Students in programs such as business, data science, social science, medicine, engineering, and more will benefit from this course. Format: A combination of lectures by Professor Santo Fortunato; practical sessions with tutorials, exercises, and collaborative mini-projects; and office hours with teaching assistants. A certificate of participation will be awarded to individuals completing the full course. Apply by May 15, 2024 — https://sites.google.com/view/netsci-course. Colloquium of the Network Science Society The NetSci Colloquium series is hosted via Zoom on the last Wednesday of each month. Information on future events and recordings of previous presentations are available on the webpage of the Society: https://netscisociety.net/events/colloquium/. The next colloquium, which takes place on April 24 , 2024 at 10:00 am U.S. Eastern Time, will feature a presentation by Samuel V. Scarpino, Northeastern University. On the Shape of Epidemics Abstract The SARS-CoV-2 pandemic upended our societies and re-shaped the way we go about our day-to-day lives—from how we work and interact to the way we buy groceries and attend school. In this talk, I will present a series of studies quantifying how our behavior, mobility patterns, and social networks shaped and were shaped by COVID-19. Leveraging global data sets that represent billions of people, I will show how myriad factors interacted to structure the course of the pandemic. Then, by connecting the mathematics of epidemics to classical theory from ecology, I will outline a strategy for preventing future outbreaks from growing into pandemics. Finally, using the lessons learned from COVID-19, I discuss how we might balance the ethical and privacy considerations around high-resolution data with their critical role in responding to epidemics.

#Postdoc Fellowship on Society as a Complex System: Polarization, Segregation and Inequality https://vacatures.uva.nl/UvA/job/Postdoctoral-Fellowship-on-Society-as-a-Complex-System-Polarization%2C-Segregation-and-Inequality/791948602/

#phd Machine learning the dynamics of force-sensing proteins https://www.findaphd.com/phds/project/machine-learning-the-dynamics-of-force-sensing-proteins/?p170724

#phd in network science https://www.math.vu.nl/~bick/BeyondTheEdge/

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

How Is Flocking Like Computing? Birds flock. Locusts swarm. Fish school. From chaotic assemblies of life, order somehow emerges. In this episode, co-host Steven Strogatz interviews the evolutionary ecologist Iain Couzin about how and why collective behaviors arise. https://www.quantamagazine.org/how-is-flocking-like-computing-20240328/

CENTAI offers 2 three-year pre-doctoral contracts funded by CEDAR, an EU-funded research project. Successful applicants can enroll in a PhD program and conduct research in complex systems and artificial intelligence domains. More info: centai.eu/careers/cedar

Debates on the nature of artificial general intelligence | Science https://www.science.org/doi/10.1126/science.ado7069

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/ ---------------------------------------------- @sitpor | sitpor.org instagram.com/sitpor_media #سیتپـــــور به خاطر روایتگری در علم

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.

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

Geoffrey West | Johns Hopkins Natural Philosophy Forum Distinguished Lecture, 2024 https://www.youtube.com/watch?v=pjJFzZpBN2c

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

Summer School: Mathematical Methods in Computational Neuroscience 8 July - 26 July 2024, Fred Kavli Knowledge Center, Eresfjord, Norway https://www.compneuronrsn.org/

#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

🔻 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 💡

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 ---------------------------------------------- @sitpor | sitpor.org instagram.com/sitpor_media #سیتپـــــور به خاطر روایتگری در علم

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

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