Complex Systems Studies

A #Python library that helps data scientists to infer causation rather than observing correlation. #causality https://causalnex.readthedocs.io/en/latest/

💉 Competition between vaccination and disease spreading. (arXiv:2001.11293v1 [physics.soc-ph]) https://t.co/ALrqqTlNxt

Almost five years after the previous release, we today release version 0.8.0 of igraph's C core. It is a major improvement with several new features, performance and robustness improvements, and many bug fixes. See our website https://t.co/UMrQjm9Mps for more details.

http://conference.nrisp.ac.ir/steco/fa/ رویکردهای مختلفی جهت ترسیم میزان توسعه اقتصادی کشورها مورد استفاده قرار می­گیرند، اما از آنجایی که این رویکردها معمولاً مالی بوده و تحت تأثیر نوسانات اقتصادی داخلی و خارجی همچون تورم، رکود و ... قرار می­ گیرند. لذا قابلیت اتکاء در جهت تبیین و آزمون فرضیات و تئوری­ های اقتصادی را ندارند. با توجه به پیچیدگی ­هایی که در عرصه اقتصاد در حال رخ دادن هستند و نیز شناخت بهتر موقعیت فعلی کشورها، پرداختن به روش ­ها و ابزارهای کارآمدتر جهت تجزیه و تحلیل اقتصاد کشور از ضرورت ­های حال حاضر اقتصاد است. به همین دلیل الزام به روی آوردن به تفکر جدید اقتصادی است. در همین راستا رویکرد پیچیدگی اقتصادی، اقتصاد را نه به عنوان یک سیستم در تعادل، بلکه به عنوان سیستمی می­بیند که در حال حرکت بوده و به طور مداوم خود را از نو می ­سازد. در این راستا لازم دیده شد تا به برگزاری کنفرانسی ملی تحت عنوان علم، فناوری و پیچیدگی اقتصادی اقدام گردد، بلکه بتوان به ترویج این رویکرد و کاربردهای آن در حوزه های مختلف سیاست گذاری و تصمیم گیری نائل آییم. http://conference.nrisp.ac.ir/steco/fa/

💡 https://www.nature.com/articles/s41562-019-0807-z

Percolation is one of the most important concepts within complex systems research. Want to have a theoretical picture of the problem? Kim Christensen's notes on "Percolation theory" are among the best to start https://t.co/oU1G4PxDr0

Join us for the 4th edition of the Oxford Summer School in Economic Networks https://t.co/pTQtoMO95r Application deadline: 7 March 2020

🐙 Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis. (arXiv:2001.09006v1 [physics.soc-ph]) https://t.co/N0PnQnjEsa

Analysis, tools and data updated as of January 26, 2020. - Estimates of the Wuhan outbreak going up - Additional countries experiencing imported cases https://t.co/4wsf31qW8O

📐 "The spectral dimension of simplicial complexes: a renormalization group theory" https://t.co/lEq0duFemp

💊 https://www.nature.com/articles/d41586-020-00166-6

💡Tutorial: Higher-Order Network Models for Temporal Network Data by Anton Eriksson and Jürgen Hackl #NetSciX2020 https://pathpy.github.io/pathpy-tutorials/

☕️ Find out how to make espressos from this paper by Jaimie Foster et al. https://t.co/KAmBHBPREs A very nice application of advection-diffusion equations and homogenisation that lets you find the sweet spot for the perfect espresso. https://t.co/G92RsVo0kS

💰 I'm looking for a new post-doc (flexible starting time). If you have a strong background in Bayesian statistics, know something what I've been doing recently and would be interested in working with @mcmc_stan, send me a message. https://users.aalto.fi/~ave/ #aalto #postdoc

Interesting paper on the evolution of the role of Physical Review (and PRL). "Physical Review: From the Periphery to the Center of Physics" https://t.co/QReCA0bnA7

💰 I'm hiring postdoctoral fellows in (1) network science and (2) data science with focus on smartphone data and health, both in my group at Harvard. Please share! https://t.co/YgL7IUP2pP #postdoc #HarvardBiostats

💡 https://physicsworld.com/a/the-secret-of-the-synchronized-pendulums/

"Classifying Wikipedia in a fine-grained hierarchy : what graphs can contribute" (Viard et al, 2020) https://t.co/I4nuXvxC7n

Mathematical Methods and Models in Machine Learning The meeting takes place at the Department of Mathematics of the University of Bologna on 27 and 28 April 2020. https://eventi.unibo.it/m4l2020 Aim of the meeting The gap between the increasing performance of deep learning and its understanding is therefore a very relevant scientific theme that calls for a strong participation in research efforts from the fields of Mathematics and Mathematical Physics. The purpose of the conference is to present recent results on mathematical methods and models related to machine learning and link researchers coming from different areas. Registration Registration is required by March 10 at 11am. It is possible to apply for a short talk

We are advertising three 3-year PhD scholarships in algorithms at The University of Sydney, Australia. The successful applicant will conduct research with Joachim Gudmundsson, William Umboh, and André van Renssen in the Sydney Algorithms and Computing Theory (SACT) group. The specific topic will depend on the skills and interests of the student and could include for example computational geometry, network design, routing, trajectory analysis, approximation algorithms, and online algorithms. The Full Scholarship will provide tuition fees and annual stipend allowance for up to three years, subject to satisfactory academic performance. The recipient may apply for an extension of up to 6 months. For more details about the positions and on how to apply: https://sydney.edu.au/scholarships/b/postgraduate-research-scholarship-in-algorithms.html Application date: 27 February 2020 (Sydney time). Please forward to anyone who might be interested. If you have any questions, you are welcome to mail us directly (joachim.gudmundsson@sydney.edu.au). You are currently subscribed to compgeom-announce. To unsubscribe or access the archives, go to https://sympa.inria.fr/sympa/info/compgeom-announce