🎞 We all intuitively understand what is alive and what is not. Equally intuitively we know that time flows forward and the past is distinct from the future. Yet casting these ideas into a predictive mathematical framework and applying it to understand the unique science of living things has been extraordinarily challenging. We now know that the appropriate language for exploring these questions is the mathematics of chance. In other contexts, such as investment strategies which account for fluctuating stock values, we have had success in using the rules of chance to make profitable predictions. Can we do the same to better understand the laws of life and time?

About the Speaker
Using rapid, iterative feedback between theory and experiments, SFI External Professor Srividya Iyer-Biswas (Purdue University) works to discover the basic physical laws that govern the probabilistic behavior of single cells, and that transcend details of specific biological systems. Her research uses a top-down physics approach, rather than more traditional approaches that focus on the cartography of genetic networks and on molecular details.

Iyer-Biswas and her team have reported predicative scaling laws governing the stochastic growth and division of cells, and have developed a theory that reveals the emergence of a scalable, cellular unit of time. Her current work involves extending these results to thermodynamics of organismal computation, time-dependent phenomena involving cellular decision-making, and laws that dictate complex biological and social phenomena.

https://www.aparat.com/v/k4h7e

🎞 "Introduction to Empirical Dynamic Modeling": a very nice video from the Sugihara Lab

"This movie demonstrates the relationship between time series and dynamic attractors"

https://t.co/XsrzlSc8BW

🎬 https://youtu.be/hR3llUTdefk

😺 https://physics.aps.org/articles/v12/35

🔥 Can the laws of physics untangle traffic jams, stock markets, and other #complexsystems?

https://t.co/UNdXXBvuVI

✅ محمد رضا رحیمی تبار در شپرینگر با کتابی در حوزه فیزیک سیستم های پیچیده

دکتر محمدرضا رحیمی تبار استاد دانشکده فیزیک دانشگاه صنعتی شریف کتابی را با عنوان " آنالیز و بازسازی داده محور از سیستم های دینامیکی پیچیده و غیرخطی" Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems را با انتشارات معتبر و معروف شپرینگر به چاپ رسانده است.دکتر محمدرضا ...

📣 متن کامل را در Instant View ⚡️ (دکمه پایین صفحه) و یا در وب‌گاه انجمن فیزیک ایران بخوانید:
🚩http://www.psi.ir/news2_fa.asp?id=2775

⏪ وب‌گاه انجمن فیزیک ایران:
🌍 http://www.psi.ir

✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇👇🏽👇
http://xn--r1a.website/psinews

🚘 "Berlin 8 a.m." - the newest #ComplexityExplorable on traffic dynamics, congestion, and phantom traffic jams.

https://t.co/2umN9BcjiP

🔥 Thesis by Mark Buchanan | The limits of machine prediction

https://t.co/6juE011OEs

🔹 In "complexity economics", people are not purely rational or self-interested, but reason with limited information

https://t.co/BGNMXzo58y

👀 https://www.quantamagazine.org/physicists-discover-exotic-patterns-of-synchronization-20190404/

🔸 We have just seen that the complexities of things can so easily and dramatically escape the simplicity of the equations which describe them. Unaware of the scope of simple equations, man has often concluded that nothing short of God, not mere equations, is required to explain the complexities of the world.

. . . The next great era of awakening of human intellect may well produce a method of understanding the qualitative content of equations.

Richard Feynman in 1963, the year of publication of the Lorenz model 

R. P. Feynman, R. B. Leighton and M. Sands, The Feynman Lectures on Physics, Vol. II. New York: Addison-Wesley, 1963, Chap. 40, pp. 11, 12.

⭕ Looking for a Masters student to work on an MS thesis project on applying machine learning for mental health @TAledavood https://t.co/V5Ivtr77J8

🔸 ICTP wants to sponsor you to the Masters of High Performance Computing! Applications for the ICTP full scholarship for candidates from Developing Countries are now open!

Deadline is May 10: http://ictp.it/1fl22

Optimal network topology for responsive collective behavior
“Experiments with a swarm of robots reveal a nontrivial relationship between frequency of the driving signal and optimal network topology.”
http://advances.sciencemag.org/content/5/4/eaau0999.full

#سمینارهای_هفتگی
مرکز شبکه‌های پیچیده و علم‌داده اجتماعی دانشگاه شهید بهشتی (CCNSD)

📝 Essentials of Real-World Data Analysis

🗣 جمشید اردلان‌کیا - CCNSD

⏰ دوشنبه، ۱۹ فروردین ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابن‌هیثم

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⭕️ مشتاق دیدار همه اقشار جامعه در مرکز هستیم. برای هماهنگی‌ با مسئول جلسه‌ می‌توانید با آقای محمد شرافتی ‌تماس بگیرید:‍‍‍‍
📞 @herman1

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🕸 SBU Center for Complex Networks & Social Data Science

🕸 @CCNSD 🔗 ccnsd.ir
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Limited number of NetSci 2019 registration waivers to students! To apply for a waiver please visit the application form listed here:
https://t.co/AL3Jn2DjpF

How to apply:
Online application:
http://indico.ictp.it/event/8706/
Female students and scientists are
encouraged to apply.

DEADLINE: 18/04/2019

Deadline for registration and paper submission

is extended to:

April 12, 2019
23 Farvardin, 1398

https://iasbs.ac.ir/seminars/condmat-meeting/m25/