Complex Systems Studies

🏀 A statistical physicist looks at basketball. https://t.co/DsYCqd0inD

'Noise' is everything in an image that isn’t real signal, and no image is completely free of it. https://t.co/jiUiHTkLOu

اثر ویتامین D بر بیماری کرونا: “All the observational studies show strong vitamin D effects on infectiousness, morbidity and mortality,” Davis says. [..] All of this evidence together, he says, makes it “very, very plain that vitamin D has a material effect”. https://t.co/oVKoGpF7sD

Exciting news! We are announcing a new undergraduate program in Quantitative Social Sciences at @dnds_ceu. https://t.co/O5TOfjQ0ra Our program combines rigorous ("hard sciences"-level) mathematics, statistics, and programming with the pillars of the social sciences. The multidisciplinary program is designed to form a next generation of researchers able to make sense of the huge volume of data on human behavior, while based fully on the epistemological foundations of the social sciences (Sociology, Economics, Environ. Sci., Pol. Sci.) We will be offering a limited number of 🚨full scholarships🚨, covering full tuition waiver and housing aid. The program is hosted by @dnds_ceu at @ceu, in Vienna 🇦🇹, often ranked the most livable city in the world. Deadlines: Feb. 1, Apr. 12, 2021 https://undergraduate.ceu.edu/qss/about

Combinatorial approach to spreading processes on networks Dario Mazzilli, Filippo Radicchi https://arxiv.org/pdf/2101.02176 Stochastic spreading models defined on complex network topologies are used to mimic the diffusion of diseases, information, and opinions in real-world systems. Existing theoretical approaches to the characterization of the models in terms of microscopic configurations rely on some approximation of independence among dynamical variables, thus introducing a systematic bias in the prediction of the ground-truth dynamics. Here, we develop a combinatorial framework based on the approximation that spreading may occur only along the shortest paths connecting pairs of nodes. The approximation overestimates dynamical correlations among node states and leads to biased predictions. Systematic bias is, however, pointing in the opposite direction of existing approximations. We show that the combination of the two biased approaches generates predictions of the ground-truth dynamics that are more accurate than the ones given by the two approximations if used in isolation. We further take advantage of the combinatorial approximation to characterize theoretical properties of some inference problems, and show that the reconstruction of microscopic configurations is very sensitive to both the place where and the time when partial knowledge of the system is acquired.

💰 The ICT department is opening several #PhD and #PostDoc positions, see https://t.co/pt85Qt3GhF This is not the US! Take a look:https://t.co/TBWhbE6Mzw

💰 36 fully funded (four years of tuition fee + an annual stipend of €18,500) structured #PhD positions in Foundations of Data Science in the only English speaking country of the EU (apart from Malta!) Application deadline: 5 February https://t.co/EAEoYtOidj

One important addition to the discussion on networks "True scale-free networks hidden by finite size effects" https://t.co/QSi0W4KGyo

یک کلاس آمار جذاب از Richard McElreath. ایشون رئیس مرکز انسان‌شناسی ماکس پلانکه. Max Planck Institute for Evolutionary Anthropology ویدیوها در یوتیوب و در آپارات: 🎞 https://www.aparat.com/playlist/765182

Artificial Intelligence may beat us in chess, but not in memory. Out now in PhysRevLett https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.018301

Curious about quantum computing and how it might be applied in biological research across different areas and scales? Check out this Comment from scientists with diverse backgrounds on the basic principles of quantum computing. https://t.co/UiIrjZLDE0

Dear Computational Neuroscientists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a "Digital Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience on Wednesday, January 27th, at 3pm (CET). The event will consist of talks by: Prof. Dr. Klaus Obermayer (head of the programs) Lisa Velenosi (teaching coordinator) Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website for a more detailed schedule and registration link. Best regards and happy new year, Lisa Velenosi

Blog post presenting my Atlas for the Aspiring Network Scientist: https://t.co/LNxrlHtE0m

⏰ Deadline reminder! Apply by 31 January 2021: https://t.co/wLuULx9Vog

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. https://arxiv.org/abs/2101.01669

💡 https://www.countbayesie.com/blog/2021/1/4/inference-and-prediction-part-2-statistics

Non-Linear Dynamics is back! Enroll today in our free online course and learn the mathematics and computational tools to study chaotic systems. Instructor Liz Bradley، January 15th: https://t.co/PNfk4femCn #ChaosTheory #SystemsThinking #Math #MOOCs

The Atlas for the Aspiring Network Scientist Michele Coscia Network science is the field dedicated to the investigation and analysis of complex systems via their representations as networks. We normally model such networks as graphs: sets of nodes connected by sets of edges and a number of node and edge attributes. This deceptively simple object is the starting point of never-ending complexity, due to its ability to represent almost every facet of reality: chemical interactions, protein pathways inside cells, neural connections inside the brain, scientific collaborations, financial relations, citations in art history, just to name a few examples. If we hope to make sense of complex networks, we need to master a large analytic toolbox: graph and probability theory, linear algebra, statistical physics, machine learning, combinatorics, and more. https://arxiv.org/abs/2101.00863

Calling all young #physicists looking for a #postdoc position in the field of #CondensedMatter and #StatisticalPhysics! Come work with us: https://t.co/Tl9XFZSs7B #workatICTP