⚡ Workshop in Lipari, "Complex networks: from socio-economic systems to biology and brain". July 13-19

https://t.co/0Lc07erAaE

🔅 "Understanding the dynamics of biological and neural oscillator networks through mean-field reductions: a review"

(by Christian Bick, Marc Goodfellow, Carlo R. Laing, Erik Andreas Martens):

https://t.co/UJSZA2TUbn

🔅 Quantum chaos in classically non-chaotic systems"
(by Efim B. Rozenbaum, Leonid A. Bunimovich, Victor Galitski):

https://t.co/2nGobDzIRA

✅ We are now accepting applications for the spring admission exam of our Sissa school Cognitive Neuroscience #PhD programme. Deadline 8 March.

Info here: https://t.co/pesqTzdfHM
Apply here: https://t.co/2A0PWPlEqH

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

📝 Using big trace data to understand social behavior and decision making

🗣امیرحسین فرزام - دانشگاه نورت‌وسترن

⏰ دوشنبه، ۲۹ بهمن، ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابن‌هیثم

📞 @mhakim

—————————————
🕸 SBU Center for Complex Networks & Social Data Science

🕸 @CCNSD 🔗 ccnsd.ir
—————————————

🔸 https://www.datasciencecentral.com/profiles/blogs/fee-book-applied-stochastic-processes

🔹 Network inference in stochastic systems from neurons to currencies: Improved performance at small sample size

https://t.co/98CsErRw6H

🔸 Oxford Univ biomathematician Thomas Woolley shows how to create your own Turing patterns; nice piece. https://t.co/KUICLCzMT2

Google just released a *comprehensive* paper on how they are taking on disinformation (including at YouTube).

Let's take a look:
https://t.co/g5tiXLTuxo

🔸 Interested in networks? Apply now for the 2nd. Latin American Conference on Complex Networks @LaNet_2019 in Cartagena, Colombia.

Minisymposia proposals due: Mar. 4
Abstracts due: Apr. 14
Conference dates: Aug. 5-9

https://t.co/BwnhIR6Jkm

دکتر کسری علیشاهی
دانشگاه صنعتی شریف

Choice under uncertainty
انتخاب در عدم قطعیت

پنجشنبه 1397/12/02 - ساعت 10
ساختمان فرمانیه کلاس A

🎞 CS50 2016 - Week 7
Machine Learning

🔗 https://www.dideo.ir/v/yt/dgt6IfEXgDk
🔗 Slides

00:00:00 - Introduction
00:01:47 - Introducing Machine Learning
00:11:21 - Image Classification
00:17:13 - Flatland
00:19:35 - Lineland, Flatland, Spaceland, and Beyond
00:26:19 - Introducing Python
00:30:55 - Supervised Learning
00:43:52 - Python for Image Classification
00:56:01 - Deep Learning
01:00:07 - Deep Learning in Cars
01:03:43 - Text Clustering
01:17:07 - Wrap-Up
01:21:20 - Outro

imon DeDeo: From Atoms to Societies, Emergentism and Reductionism

we talk about the ways we can apply knowledge and mathematical models from Physics to the study of human social behavior ...


~~~~~~~~~~~~~~~~
#رادیو_پیچیدگی
🎙 پادکست‌های مربوط به علم پیچیدگی (سیستم‌های پیچیده)

📻 @Radio_complexity

The concept of equilibrium is one of the most central ideas in economics. But what if, when things get complicated, it no longer works?
https://t.co/OwEEtb3zQa

🧩 https://www.nature.com/articles/s41562-018-0522-1

🔹 The State of the Art in Multilayer Network Visualization

“literature to survey visualization techniques suitable for multilayer graph visualization, as well as tools, tasks, and analytic techniques”

https://t.co/o6sRQfXIJY

arXiv:1902.06815v1

🌡 https://www.nature.com/articles/s41563-019-0306-7

Ball, P. (2019). Taking the temperature of a sand pile. Nature Materials, 18(3), 196–196. doi:10.1038/s41563-019-0306-7

🔹 Analysis of the Wikipedia Network of Mathematicians.

“strengths and weakness of centrality measures and how to provide estimates of the robustness of centrality measurements”

https://t.co/XyuGmszJdB

arXiv:1902.07622v1

⚡ Physicists discovered in 1997 that negatively-curved space-time is like a hologram that projects out of a network of quantum particles. Now, they're finally making progress toward a holographic denoscription of real space-time, which is positively curved.

https://t.co/uqlORJpS92