Consistency and identifiability of football teams: a network science perspective

https://www.nature.com/articles/s41598-020-76835-3

💰 Interested in doing population-scale social network analysis? There are now two #PhD positions and one #Postdoc position in computational social sciences available @UvA_Amsterdam! Deadline is December 3.

https://t.co/HkUf8ObZeg

Using agent-based simulations, it shows that two network intervention strategies that divide or balance social groups can substantially reduce SARS-CoV-2 transmission while preserving the economy. https://t.co/3jGVV4OSM4

Introduction to Linear Algebra for Applied Machine Learn

https://t.co/CUEArRBicW

🦠 “Why Switzerland became one of the world's worst coronavirus hotspots”

https://t.co/8Z7wOiWkCC

💻 A machine learning tool called diffusion-maps has been used to identify topological phase transitions in experimental data.

https://physicsworld.com/a/machine-learning-spots-topological-phase-transitions-in-experimental-data/

🦠 مردم بیشتر در چه مکان‌هایی به کرونا مبتلا شدند؟!

مقاله‌ای در نیچر گزارش میده که عمده ابتلاها در مکان‌های کوچیک مثل - به ترتیب - رستوران‌ها، باشگاه‌های ورزشی، کافه‌ها و هتل‌ها بوده. آمار‌ ابتلا در رستوران‌ها و غذاخوری‌های عمومی در صدر‌ جدول و ۴ برابر‌ بیشتر از بقیه بوده.

https://t.co/WO4E0PMcp9

This week's paper is a novel approach to describe an "individual" in Biology without relying on features like cell membrane, but instead on a mathematical formulation that takes into account the information propagated in time.

You can read the annotated paper by David's Krakauer et al here: https://t.co/QuPd7A8m65

Come join us to discuss how not to construct #functional #brain #networks! We will talk about nodes and links definitions.


17.11.2020 at 10AM EET
https://aalto.zoom.us/j/67072679004

How to attend the seminar? Check https://bit.ly/3euKzvE

💰 #PhD positions in Advanced Machine Learning at Cambridge
Application deadline: noon December 3, 2020.
Details about the application process can be found here:
https://t.co/2SwKfm9V8k

📺 https://m.youtube.com/watch?feature=emb_rel_pause&v=L6CqqlILBCI

💰 Networks, embeddings, dynamics. If that sounds exciting to you, and if you're also searching for a #postdoc, Come and work on a (super cool) project: https://t.co/xwc3jP5l0s

💰 Two interesting opportunities for #PhD/#Postdoc at the Informatics Institute, University of Amsterdam!
https://t.co/bEuil6N7KG

Check also: https://t.co/JrxtuMJDV9

👩🏻‍💻 https://brianzhang01.github.io/2018/04/distributions-with-sympy/

🦠 از کجا بفهمیم که داریم کرونا رو شکست میدیم؟

بر خلاف آمار روزانه‌ای که شبکه‌های خبری میدن، که اصلا معلوم نمی‌کنه قراره در آینده چه اتفاقی بیافته، در این ویدیو یاد می‌گیریم که
چطور از ریاضیات و نمودارهای لگاریتمی میشه کمک گرفت تا آینده‌ای که پیش رو داریم رو روشن‌تر ببینیم و قدرت تحلیل و تصمیم‌گیریمون رو بالا ببریم، نتایج تصمیمات مختلف کشورها رو به روشنی ببینیم و حدس بزنیم که «کی قراره کرونا رو شکست بدیم؟»

🔗 sitpor.org/1399/08/beating-covid-19

#ما_کرونا_را_شکست‌‌_می‌دهیم
~~~~~~
@sitpor
‌instagram.com/sitpor_media
~~~~~~~

🦠 حالا که رستوران‌ها در رتبه اول در پخش بیماری هستن، چه راه‌کاری برای کاهش شیوع کرونا وجود داره؟

https://www.nature.com/articles/d41586-020-03140-4

💉 واکسن معرفی شده توسط BioNTech از یک فناوری جدید استفاده می‌کنه که به رِنای پیام‌رسان مربوطه.

بیشتر بخونید:

Nanomedicine comes of age with mRNA vaccines

💾 New review article in Nature Reviews Physics: "Topological methods for data modelling" (by Gunnar Carlsson):

https://t.co/16PD6hriSo

Evolutionary Surrogate-assisted Prenoscription

How does machine learning help in decision-making and optimizing non-pharmaceutical interventions against Covid19

Risto Miikkulainen
Professor of Computer Science
The University of Texas at Austin and Cognizant Technology Solutions

Thursday 19 November at 18:00-19:30
Register! by 16 November at https://webropol.com/ep/HDLS-19112020

Abstract
How can we make good decisions in business, engineering design, science, education, and indeed in life in general? Good decisions are often based on experience: recalling what decisions were made in similar situations in the past, how well they worked out, and modifying them to achieve good outcomes in current situation. Evolutionary Surrogate-assisted Prenoscription (ESP) is a machine learning technology that makes it possible to come up with good decision strategies automatically. The idea is to use historical data to build a predictive surrogate model, and population based search (i.e. evolutionary computation) to discover good decision strategies against it. I’ll review the technology and evaluate it in several examples, including optimizing behavior in sequential decision tasks, and optimizing non-pharmaceutical interventions in the COVID-19 pandemic. The method is found to be sample efficient and creative, forming a foundation for optimizing many decision tasks in the future.

“The Hitchhiker's Guide to #CondensedMatter and #StatisticalPhysics” is a series of virtual events that will provide a roadmap of current research directions in the field.

🔹 Register to the first virtual school on #MachineLearning for CM by November 30: http://indico.ictp.it/event/9471/

💉 Moderna COVID-19 vaccine: two press releases one for Primary Efficacy Endpoint and one Shelf Life & Refrigerated Temperatures

1⃣ https://t.co/ZM2JghFk4y

2⃣ https://t.co/TZjQpYTbvF