Complex Systems Studies

#Postdoc position for Generative models for molecular dynamics https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14027&rmlang=UK

Reticula: A temporal network and hypergraph analysis software package Abstract: In the last decade, temporal networks and static and temporal hypergraphs have enabled modelling connectivity and spreading processes in a wide array of real-world complex systems such as economic transactions, information spreading, brain activity and disease spreading. Here, we present the Reticula C++ library and Python package: A comprehensive suite of tools for working with real-world and synthetic static and temporal networks and hypergraphs. This includes various methods of creating synthetic networks and randomised null models based on real-world data, calculating reachability and simulating compartmental models on networks. The library is designed principally on an extensible, cache-friendly representation of networks, with an aim of easing multi-thread use in the high-performance computing environment. In terms of challenges, I will talk more generally about the good and bad parts of writing and distributing software by scientists for scientists. What kind of skills would be useful? How can a PhD candidate reconcile scientific software development with the classic expectation of publishing papers and getting citations? Speaker: Arash Badie-Modiri https://youtu.be/k_psA5l07zQ

Simon DeDeo, Hard Proofs and Good Reasons | Natural Philosophy Symposium 2025 https://youtu.be/JJLBZ4C1OGw

🔺🔺🔺Postdoc Opportunity – Electrophysiology Lab (Shahid Beheshti University) Dr. Reza Lashgari is looking for postdoctoral researchers to join his electrophysiology lab at Shahid Beheshti University. Candidates with a strong background in neuroscience, signal recording, and signal processing are encouraged to apply. Please share this with anyone who might be interested!

Towards an Understanding of Scientific Disagreement https://vimeo.com/1131827105

Senior Scientist (= #PostDoc with option of permanency)! https://jobs.uni-graz.at/en/jobs/7d1400f4-cbe6-ab69-dc82-68e77675d81c?category=Academic%20Staff%20(Non-Tenure-Track),Academic%20Staff%20(Development%20Position)

Lake Como School: Complex Networks Theory, Methods, and Applications - May 18-22, 2026 https://ntml.lakecomoschool.org/

Shark Data Suggests Animals Scale Like Geometric Objects https://www.quantamagazine.org/shark-data-suggests-animals-scale-like-geometric-objects-20251027/

#phd Developing methods for accurate reconstruction of viral histories to guide pandemic preparedness and targeted interventions https://www.ndm.ox.ac.uk/study/dphil-themes?project=developing-methods-for-accurate-reconstruction-of-viral-histories-to-guide-pandemic-preparedness-and-targeted-interventions

#PhD opportunity to predict how natural populations will respond to perturbations: https://www.findaphd.com/phds/project/social-manipulations-for-predicting-wild-animal-societies-responses-to-perturbations/?p187979 The project will combine large-scale social data from model animal systems with network analyses and social manipulations to understand the causal effects of external forces on real-world societies. Application Deadline 7 Jan 2026, fully funded through YES-DTN scheme at University of Leeds.

Transmission Versus Truth: What Will It Take to Make an Al as Smart as a 4-Year-Old? https://youtu.be/PNE5pfQBlxM

Sandra Mitchell, Biological Complexity and Scientific Practice | Natural Philosophy Symposium 2025 https://youtu.be/OamFDuT45oY?list=PLWDzKuETVzrpkaD32TBFn8sarleSfLJ3A

Daniel Dennett, How, When, and Why Can We Trust Our Brains? | Natural Philosophy Forum Lecture, 2023 https://youtu.be/32u12zjgJww

David Chalmers, Can There Be a Mathematical Theory of Consciousness? | Natural Philosophy Symposium https://youtu.be/ZsvePdaYw7M

Are these the happiest PhD students in the world? https://www.nature.com/articles/d41586-025-03346-4 what matters most [is] human connections, meaningful work and mentorship.

Finite Markov chains and Monte-Carlo Methods: An Undergraduate Introduction https://arxiv.org/abs/2510.14165

Transformers & Large Language Models https://cme295.stanford.edu/syllabus/

The Physics of News, Rumors, and Opinions The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information ecosystem where individuals and machines compete for attention, leading to emergent collective phenomena. The flow of information in this ecosystem is often non-trivial and involves complex user strategies from the forging or strategic amplification of manipulative content to large-scale coordinated behavior that trigger misinformation cascades, echo-chamber reinforcement, and opinion polarization. We argue that statistical physics provides a suitable and necessary framework for analyzing the unfolding of these complex dynamics on socio-technological systems. This review systematically covers the foundational and applied aspects of this framework. The #review is structured to first establish the theoretical foundation for analyzing these complex systems, examining both structural models of complex networks and physical models of social dynamics (e.g., epidemic and spin models). We then ground these concepts by describing the modern media ecosystem where these dynamics currently unfold, including a comparative analysis of platforms and the challenge of information disorders. The central sections proceed to apply this framework to two central phenomena: first, by analyzing the collective dynamics of information spreading, with a dedicated focus on the models, the main empirical insights, and the unique traits characterizing misinformation; and second, by reviewing current models of opinion dynamics, spanning discrete, continuous, and coevolutionary approaches. In summary, we review both empirical findings based on massive data analytics and theoretical advances, highlighting the valuable insights obtained from physics-based efforts to investigate these phenomena of high societal impact. https://arxiv.org/abs/2510.15053