Complex Systems Studies

Information theory: A foundation for complexity science Amos Golan and John Harte https://www.pnas.org/doi/abs/10.1073/pnas.2119089119?af=R Abstract Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting in an underdetermined inference problem; multiple inferences, models, and theories are consistent with available information. Information theory (in particular, the maximum information entropy formalism) provides a way to deal with such complexity. It has been applied to numerous problems, within and across many disciplines, over the last few decades. In this perspective, we review the historical development of this procedure, provide an overview of the many applications of maximum entropy and its extensions to complex systems, and discuss in more detail some recent advances in constructing comprehensive theory based on this inference procedure. We also discuss efforts at the frontier of information-theoretic inference: application to complex dynamic systems with time-varying constraints, such as highly disturbed ecosystems or rapidly changing economies.

ICTP-KIAS School on Statistical Physics for Life Sciences https://indico.ictp.it/event/9836/

"Northwestern University research team has discovered a ubiquitous property of a complex network and developed a novel computational method that... exploit[s] that property to control the whole network using only local information." https://t.co/NBNhnaJNCG

#Postdoc researcher in Network Science (3 years) The position is for 3 years, in a friendly academic atmosphere, and offers quite a bit of freedom for the candidate. See the details below, or the university job ad page: https://www.universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-503postdoctoral-researcher-in-network-science-3-years-0.8-1.0-fte

کتاب‌هایی برای مردم درباره پیچیدگی به انتخاب پتر (به همراه جستاری در مورد آثار عامه‌پسند) این کتاب‌ها برای مردم عادی نوشته شده‌اند و تغییر قابل توجهی در نگاه مردم به انگاره پیچیدگی ایجاد کرده‌اند. 🔗 sitpor.org/2022/08/complexity-science-books ---------------------------------------------- @sitpor | sitpor.org instagram.com/sitpor_media #سیتپـــــور به خاطر روایتگری در علم

Complexity matters: the fiftieth anniversary of Philip Anderson’s landmark essay ‘More is Different’. nature.com/nphys/

2022 ICTP Dirac Medal Winners Announced: Three share prize for fundamental work in statistical mechanics Video Explainer: ICTP 2022 Dirac Medallists' Work European Physical Journal H published a conversation with Joel about his life and career. Read it here.

Swimming in Complex Fluids Saverio E. Spagnolie, Patrick T. Underhill https://arxiv.org/abs/2208.03537 We review the literature on swimming in complex fluids. A classification is proposed by comparing the length and time scales of a swimmer with those of nearby obstacles, interpreted broadly, extending from rigid or soft confining boundaries to molecules which confer the bulk fluid with complex stresses. A third dimension in the classification is the concentration of swimmers, which incorporates fluids whose complexity arises purely by the collective motion of swimming organisms. For each of the eight system classes which we identify we provide a background and describe modern research findings. While some classes have seen a great deal of attention for decades, others remain uncharted waters still open and awaiting exploration.

We are looking for two postdoctoral fellows in neural data science at the Department of Mathematical Sciences. https://www.jobbnorge.no/en/available-jobs/job/229369/2-postdoctoral-fellows-in-neural-data-science #postdoc

School on Information, Noise, and Physics of Life 19-30 Sep 2022, Nis - Serbia https://indico.ictp.it/event/9826/

Information theory: A foundation for complexity science https://t.co/lpgm7eHRJ7

Published exactly 50 years ago. Continues to be a thought-provoking read. https://t.co/j0AzAgSje2

There are 2 openings for #PhD positions in my research group mds.univie.ac.at , see tinyurl.com/2p93hzsn and tinyurl.com/bddaf3cf for the announcments. Come to #Vienna to advance the Mathematics of Data Science!

Are complex systems predictable? Is the butterfly effect real? Here's a seminal 1979 paper by David Ruelle on how fluctuations on the smallest scale propagate to the large, chaotic fluid-scale tmosphere dynamics https://www.sciencedirect.com/science/article/abs/pii/0375960179906534

The potential for cascading effects overwhelming ecological and social resilience. https://www.pnas.org/doi/epdf/10.1073/pnas.2108146119

If you're looking for a postdoc position, there is no better one than this one at #sfiscience: Interdisciplinary scientists in any field (including those in AI / ML / Cogsci) are encouraged to apply! Applications due October 14, 2020. https://apply-sfi.smapply.org/prog/complexity_postdoctoral_fellowship_/

Modelling railway delay propagation as diffusion-like spreading https://t.co/t9vpTJtmW6

"The Kosterlitz-Thouless phase transition: an introduction for the intrepid student" (by Victor Drouin-Touchette): https://t.co/zcm8uwcKvN "This is a set of notes recalling some of the most important results on the XY model from the ground up. They are meant for a junior researcher wanting to get accustomed to the Kosterlitz-Thouless phase transition in the context of the 2D classical XY model."

20 years of network community detection | Nature Physics https://www.nature.com/articles/s41567-022-01716-7 The 20th anniversary of the Girvan-Newman paper is a good time to check how network community detection is doing. Take a look at our overview of the field, just out in Nature Physics! Delightful (first) collaboration with network science giant Mark Newman.

3 lectures on several topics in the transition to turbulence, at the Boulder Summer School in Condensed Matter Physics. This year the theme was hydrodynamics across scales. https://youtube.com/playlist?list=PLgzuNVhLa31yFevZ0oMox2EN1Jw02x2eQ