Code.org (@codeorg) Tweeted:
Upon learning about Jeffrey Ullman’s discriminatory comments, we join computer scientists from around the world to call on the ACM to revisit its criteria for granting Ullman the $1M Turing Award. https://t.co/G6bHeyB7MM https://twitter.com/codeorg/status/1381734032933744643?s=20

💰 Are you open to multi-disciplinary analysis? Do you have a PhD in CS, physics, sociology or psychology? Here you have an awesome #Postdoc Research Fellowship Position to analyse human behaviour during the COVID-19 pandemic https://t.co/sER0LizwId

The Master in High Performance Computing @mhpc_sissa_ictp, coordinated by ICTP and @Sissaschool is now accepting applications for the new academic year!

ICTP is providing scholarships for applicants from developing countries ➡️ deadline: 30 April 2021

🔸 https://t.co/id88kdXYyJ https://t.co/5nGk7DDgJI

India, one of the world’s biggest suppliers of vaccines, is facing a COVID-19 vaccine crunch, partly due to an explosion of cases linked to new variants. This spells trouble for many countries relying on Indian-made vaccines: https://t.co/nQideBL3HU

‏اگه دوست دارید در مورد تجربه ما در سه حوزه پردازش زبان طبیعی، فین‌تک و ریکامندیشن سیستم‌ها بیشتر بدونید:

https://www.instagram.com/p/CNxnl6FAQKH/?igshid=145e6plx4036f

New year, new Data Stories exhibition @ceu! Submit your awesome research/data visualizations! Fantastic opportunity to showcase your most important findings, reveal a novel perspective on an old problem, connect dots that haven't been connected before: https://t.co/X7e9VcM3Kk

This course on Covid-19 transmission from MIT by a physics professor is released today and seems quite remarkable.

https://t.co/skFSeaiEBJ

ICTP's Quantitative Life Sciences section seeks applications from students interested in a #PhD scholarship to study olfactory search in a turbulent environment.

The application deadline is 15 June, with a starting date of 1 November 2021.

More info: https://t.co/0qAlM88Ujz https://t.co/xnWW4h6qWh

Looking for a #PhD-Position in #QuantumPhysics with a Focus on #TensorNetworks? 👩‍🎓👨‍🎓 Then join our "Quantum Information and Quantum Many-Body Physics"-Research Group, led by Norbert Schuch! ✨ Info on how to apply is available at https://t.co/CIT9g7iITB

Do you want to enter the exciting world of #ComplexSystems? 🔍
📣Pre-registration open!

IFISC offers mobility fellowships to study the IFISC Master in Physics of #ComplexSystems, one of them is sponsored by @F_Sicomoro

ℹ https://t.co/d629pXL8oS

New paper from Duncan J Watts: Theories of organizations are sympathetic to long-standing ideas from network science that organizational networks should be regarded as multiscale and capable of displaying emergent properties. However, the historical difficulty of collecting individual- level network data for many (N ≫ 1) organizations, each of which comprises many (n ≫ 1) individuals, has hobbled efforts to develop specific, theoretically motivated hypotheses connecting micro- (i.e., individual-level) network structure with macro-organizational properties. In this paper we seek to stimulate such efforts with an exploratory analysis of a unique data set of aggregated, anonymized email data from an enterprise email system that includes 1.8 billion messages sent by 1.4 million users from 65 publicly traded U.S. firms spanning a wide range of sizes and 7 industrial sectors. We uncover wide hetero- geneity among firms with respect to all measured network characteristics, and we find robust network and organizational variation as a result of size. Interestingly, we find no clear associations between organizational network structure and firm age, industry, or performance; however, we do find that centralization increases with geographical dispersion—a result that is not explained by network size. Although preliminary, these results raise new questions for organizational theory as well as new issues for collecting, processing, and interpreting digital network data.

Coming up soon: a mooc to learn machine learning in Python with #scikit_learn
https://t.co/mkf8g2x44x

8 weeks, 4.5Hrs/wk, from zero to hero in machine learning: from knowing only basic Python to understanding ML

درس فیزیک دستگاه‌های پیچیده
دکتر سامان مقیمی - دانشکده فیزیک، دانشگاه صنعتی شریف

https://www.aparat.com/playlist/838442

👍 The 2nd edition of 'The Hitchhiker's Guide to #CondensedMatter and #StatisticalPhysics: Topological Phenomena in Condensed Matter', an ICTP Virtual School, will be held (virtually) on 6th, 13th, 20th May and 3rd June 2021.

Register here by 30 April: https://t.co/yZmES8AvTw

📺 Opinion Dynamics on Networks: http://video.albanova.se/ALBANOVA20210422/video.mp4

I survey three different types of opinion models (with examples of each from my work): threshold models, voter models, and bounded-confidence models.

📺 Computational Epidemiology at the time of COVID-19 by @alexvespi https://t.co/UwPUhsCuzL https://t.co/1EslXAl3Xy

💰 We're still accepting applications for our #PhD project in Characterizing Temporal Social Networks using Dynamic Embeddings.

https://t.co/NMHPFB0xCI

The project is part of a larger study to develop computational tools for the analyses of large dynamic complex networks.