💰 My department at Stockholm University is looking for #PhD students in Statistics. Join us in building the most modern stats department in Sweden!
Deadline: April 27.

https://t.co/wUy21a0yQn

Forecasts by Country

On this page, we present the 6-day forecasts of COVID-19 case counts by country based on a novel epidemiological model that integrates the effect of population behavior changes due to government measures and social distancing.

http://rocs.hu-berlin.de/corona/docs/forecast/results_by_country/

💰 #Networks, #Brain and #Paris. How your next #PhD can help you discover them all.
Several @ERC-funded PhD scholarships NOW available
#Postdoc fellowships coming soon.
More info here https://t.co/zvy635BHiv --

🕯 Epidemiological models aren't crystal balls that predict the future, nor are we sure if their parameters are correct! That's okay because that's not what they're for. Let's treat them as what they are: the future imploring us to choose our fate.
https://t.co/Zgq0oR6S4a

Network Epidemiology Online Workshop Series

Join us for Understanding and Exploring Network Epidemiology in the Time of Coronavirus, a special online workshop series presented by the University of Maryland’s COMBINE program in network biology in partnership with Vermont’s Complex Systems Center.

🦠 Apply by 5pm ET on Tuesday, April 7th for full consideration (see “Signing up” below)
http://www.combine.umd.edu/network-epidemiology/

A call to honesty in pandemic modeling - Wesley Pegden - Medium
https://medium.com/@wpegden/a-call-to-honesty-in-pandemic-modeling-5c156686a64b

📺 Understanding Epidemics: Fatality Rate Models

https://youtu.be/9Y4pTOdFFyQ

Covid-19: Global summary

Identifying changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak whilst accounting for potential biases due to delays in case reporting both nationally and subnationally.

https://epiforecasts.io/covid/posts/global/

🦠 https://www.nytimes.com/interactive/2020/04/03/science/coronavirus-genome-bad-news-wrapped-in-protein.html

Bridging the gap between graphs and networks

Gerardo Iñiguez, Federico Battiston, Márton Karsai

https://arxiv.org/pdf/2004.01467

Network science has become a powerful tool to describe the structure and dynamics of real-world complex physical, biological, social, and technological systems. Largely built on empirical observations to tackle heterogeneous, temporal, and adaptive patterns of interactions, its intuitive and flexible nature has contributed to the popularity of the field. With pioneering work on the evolution of random graphs, graph theory is often cited as the mathematical foundation of network science. Despite this narrative, the two research communities are still largely disconnected. In this Commentary we discuss the need for further cross-pollination between fields -- bridging the gap between graphs and networks -- and how network science can benefit from such influence. A more mathematical network science may clarify the role of randomness in modeling, hint at underlying laws of behavior, and predict yet unobserved complex networked phenomena in nature.

🎞 Understanding Epidemics: The SIR Model and COVID-19

https://www.youtube.com/watch?v=72kLBDiy0h0&feature=youtu.be

🕸 نظریه گراف و علم شبکه

نزدیک به ۲۰ ساله که چیزی به اسم نظریه شبکه‌ یا علم شبکه در ادبیات علمی پیدا شده. شاید نزدیک‌ترین یا نام‌آشناترین نظریه به علم شبکه، نظریه گراف در ریاضیات باشه. چیزی که از زمان اویلر (۱۷۳۶) شکل گرفته و در چند قرن اخیر هم همیشه حوزه‌ی پژوهشی برای ریاضیدون‌ها بوده. اما این فقط ظاهر کاره...

ادامه نوشته:
🔗 http://www.sitpor.org/2020/04/graph-theory-networks/

@sitpor

🕯 https://rssdss.design.blog/2020/03/31/all-models-are-wrong-but-some-are-completely-wrong

Machine learning glasses

Giulio Biroli
Nature Physics volume 16, pages373–374(2020)
nature.com/articles/s41567-020-0873-1

Artificial neural networks now allow the dynamics of supercooled liquids to be predicted from their structure alone in an unprecedented way, thus providing a powerful new tool to study the physics of the glass transition.

here are free shareable links to both articles: https://t.co/4f5rmvrFPR & https://t.co/8f5O6MQJob

🚗 https://www.nature.com/articles/s41467-020-15353-2

🥁 Don't miss the online course "Machine Learning", geared towards graduate level physics students

https://t.co/6G9G3ZywSL

PERIMETER INSTITUTE RECORDED SEMINAR ARCHIVE

Modeling covid in the continental US
https://t.co/woFV85mfCt
Project is work in progress, features such as data download, interactive explorations and state projections will be added in the next days. https://t.co/2vRORjpSR8

Fast Grants: "If you are a scientist at an academic institution currently working on a #COVIDー19 related project and in need of funding, we invite you to apply for a Fast Grant. Fast Grants are $10k-$500k and decisions are made in under 48 hours.".

https://fastgrants.org/

12 #phd positions

https://www.scoop.it/topic/ecolophysics/p/4117481141/2020/04/08/noscript-12-phd-fellowships-in-neuroscience-at-the-padova-neuroscience-center-university-of-padova