Complex Systems Studies

#PhD Fellowship in Complex Networks and Systems - Application deadline 📆 Jan 20, 2026 https://cbr.fm.ucp.pt/en/bolsa-investigacao-cberamasters

The Digital Democracy Center (DDC) at the University of Southern Denmark, Odense, invites applications for one or more full-time #Postdoc positions within the interdisciplinary and cross-European research project FOOD-FRAMES. https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3459

The Modern Software Developer - Stanford University • Fall 2025 https://themodernsoftware.dev/ This course demonstrates that modern AI tooling will not only enhance developer productivity but also democratize software engineering for a broader audience. We'll show that software development has evolved from 0-1 code creation to an iterative workflow of plan, generate with AI, modify, and repeat. Students will master both the theory behind traditional software engineering challenges and the cutting-edge AI-powered tools solving them today. Through hands-on engineering tasks and talks from industry pioneers building these revolutionary tools, you'll gain practical experience with AI-assisted development, automated testing, intelligent documentation, and security vulnerability detection. By the end of this course, you'll have a crisp understanding of how to integrate state-of-the-art LLM models into complex development workflows and avoid common pitfalls.

#Postdoct: The Department of Network & Data Science at Central European University (CEU) invites applications for a full-time Postdoctoral Researcher position based in Vienna, under the supervision of Prof. Federico Battiston. The position is for 2 years with potential for extension. https://careers.ceu.edu/job/Vienna-Post-doctoral-Researcher-%28fmd%29-1100/1331909655/

#job: Research Scientist at the Wikimedia Foundation (Remote) https://job-boards.greenhouse.io/wikimedia/jobs/7484474?gh_src=94cfded01us

What if birds of a feather flock together, but only at specific group sizes? https://nature.com/articles/s41467-025-66415-2 This is the focus of our new paper, Homophily within and across groups, now published in Nature Communications. Here, we introduce a maximum-entropy random graph model that moves beyond these limits, capturing homophily across all social scales in the network, with parameters for each group size. The framework decomposes homophily into within- and across-group contributions, recovering the stochastic block model as a special case. As an exponential-family model, it fits empirical data and enables inference of group-level variation of homophily that aggregate metrics miss. The group-dependence of homophily substantially impacts network percolation thresholds, altering predictions for epidemic spread, information diffusion, and the effectiveness of interventions. Ignoring such heterogeneity risks systematically misjudging connectivity and dynamics in complex systems.

What if birds of a feather flock together, but only at specific group sizes? https://nature.com/articles/s41467-025-66415-2 This is the focus of our new paper, Homophily within and across groups, now published in Nature Communications. Homophily-the tendency of individuals to interact with similar others-shapes how networks form and function. Yet existing approaches typically collapse homophily to a single scale, either one parameter for the whole network or one per community, thereby detaching it from other structural features. Here, we introduce a maximum-entropy random graph model that moves beyond these limits, capturing homophily across all social scales in the network, with parameters for each group size. The framework decomposes homophily into within- and across-group contributions, recovering the stochastic block model as a special case. As an exponential-family model, it fits empirical data and enables inference of group-level variation of homophily that aggregate metrics miss. The group-dependence of homophily substantially impacts network percolation thresholds, altering predictions for epidemic spread, information diffusion, and the effectiveness of interventions. Ignoring such heterogeneity risks systematically misjudging connectivity and dynamics in complex systems.

Emergence of polarization in social networks – Mikko Kivelä https://youtu.be/HAZKJ9LpvHI

Statistical Physics Analysis of Graph Neural Networks: Approaching Optimality in the Contextual Stochastic Block Model https://journals.aps.org/prx/abstract/10.1103/lfxj-hbsk

The perplexing “connected cluster axiom” – Inverse Complexity Lab https://skewed.de/lab/posts/connected-clusters/#fn1

منظور از پدیدارگی در سیستم‌های پیچیده چیست؟ عباس ریزی معروف است که سیستم‌های پیچیده در مقیاس ریز، اجزایشان برهم‌کنش‌های موضعی دارند ولی در مقیاس درشت، رفتارهای «پدیداره» از خود نشان می‌دهند که شبیه به رفتار اجزا در مقیاس ریز نیستند. اما به راستی این پدیدارگی چیست؟ آیا درک ویژگی‌ها یا رفتارهای پدیداره نیاز به چیزهای دیگری دارد؟ در این سخنرانی که بر اساس مقاله مروری زیر است، به این مسئله می‌پردازیم. What is emergence, after all? 🎞 ویدیو در یوتیوب 🔗 اسلایدها 🎧 فایل صوتی ---------------------------------------------- @sitpor | sitpor.org instagram.com/sitpor_media #سیتپـــــور به خاطر روایتگری در علم

🔷 جلسات سمینار هفتگی فیزیک اماری و سامانه های پیچیده 📜 موضوع ارائه: پدیدارگی در سیستم های پیچیده چیست؟ 👨🏻‍💻 ارائه دهنده: عباس کریمی ریزی 🕒 زمان: دوشنبه ۱۰ آذر، ساعت ۱۵ 📍مکان: سالن سمینار، طبقه سوم دانشکده فیزیک 💻 لینک گوگل میت: https://meet.google.com/wgd-aesr-yuk ------------------------------------- 🌐http://ccnsd.ir 🌐 https://complexity.sbu.ac.ir/ 🆔 @Complexity_SBU

Alexander Franklin - "Emergence, Autonomy, and Naturalness" https://youtu.be/izEvvcXQ4G0

This graph will change how you see the world https://youtu.be/HBluLfX2F_k?si=YhdsUwhrulPb2JxW

Sociophysics models inspired by the Ising model https://arxiv.org/abs/2506.23837

Round table: Ruminations on the Ising Model: Past, Present, Future with: Jürg Fröhlich (ETH Zürich) Tom Spencer (IAS) Arthur Jaffe (Harvard University) Geoffrey Grimmett (University of Cambridge) Joel Lebowitz (Rutgers University) https://youtu.be/YvS0j2pj_xY

The Unreasonable Effectiveness of Spectral Graph Theory: A Confluence of Algorithms, Geometry, and Physics https://youtu.be/8XJes6XFjxM

Roland Bauerschmidt - Perspectives on the renormalisation group approach https://youtu.be/l1iZbsEiO6c