Data on COVID-19 vaccination is updated: https://t.co/03pQ8rRViP
Total doses administered per 100 people:
🇮🇱 Israel 41.8 (+1.9 daily)
🇦🇪 UAE 25.1 (+0.9)
🇬🇧 UK 10.1 (+0.5)
🇧🇭 Bahrain 8.5 (+0.4)
🇺🇸 US 6.2 (+0.3)
🇲🇹 Malta 4.3 (+0.3)
🇩🇰 Denmark 3.5 (+0.1)
🇸🇮 Slovenia 2.7 (+0.1) https://t.co/0yCsV5ViHk
Total doses administered per 100 people:
🇮🇱 Israel 41.8 (+1.9 daily)
🇦🇪 UAE 25.1 (+0.9)
🇬🇧 UK 10.1 (+0.5)
🇧🇭 Bahrain 8.5 (+0.4)
🇺🇸 US 6.2 (+0.3)
🇲🇹 Malta 4.3 (+0.3)
🇩🇰 Denmark 3.5 (+0.1)
🇸🇮 Slovenia 2.7 (+0.1) https://t.co/0yCsV5ViHk
💰 Interested in the brain, and you live outside Norway? Apply to one of 16 new #PhD positions opening in computational neuroscience, bioinformatics and AI at University of Oslo! Open until March 1st!
https://www.mn.uio.no/compsci/english/
https://www.mn.uio.no/compsci/english/
If you are looking for a #PhD or #PostDoc position that starts in autumn 2021 and you are excited about developing interpretable, theory-driven NLP and ML methods to understand social and socio-technical phenomena, then ping me
https://twitter.com/clauwa/status/1353633451170213895?s=19
https://twitter.com/clauwa/status/1353633451170213895?s=19
Twitter
Claudia Wagner
If you are looking for a PhD or PostDoc position that starts in autumn 2021 and you are excited about developing interpretable, theory-driven NLP and ML methods to understand social and socio-technical phenomena, then ping me and join @gesis_org and @RWTH…
💰 Fantastic position with Lauren Hadley to study prediction in conversation - apply here https://t.co/Kg1S6tKLKf but based in Glasgow (deadline 4th Feb)
"Machine-Learning Mathematical Structures" (by Yang-Hui He): https://arxiv.org/abs/2101.06317
"We review, for a general audience, a variety of recent experiments on extracting structure from machine-learning mathematical data that have been compiled over the years."
"We review, for a general audience, a variety of recent experiments on extracting structure from machine-learning mathematical data that have been compiled over the years."
What is economic complexity? And how it is helping us understand the economy? More than a decade ago, two papers helped ignite the field.
The first comprehensive review of Economic Complexity in Nature Review Physics
https://t.co/hQTDpn9IMs
The first comprehensive review of Economic Complexity in Nature Review Physics
https://t.co/hQTDpn9IMs
The Network Pages
The math and algorithms that keep us connected
https://www.networkpages.nl/
we will publish interactive demonstrations
The math and algorithms that keep us connected
https://www.networkpages.nl/
we will publish interactive demonstrations
🎞 The Structure of Complex Networks: Scale-Free and Small-World Random Graphs - Remco van der Hofstad
https://www.aparat.com/v/gryA3
Abstract:
Many phenomena in the real world can be phrased in terms of networks. Examples include the World-Wide Web, social interactions and Internet, but also the interaction patterns between proteins, food webs and citation networks.
Many large-scale networks have, despite their diversity in backgrounds, surprisingly much in common. Many of these networks are small worlds, in the sense that one requires few links to hop between pairs of vertices. Also the variability of the number of connections between elements tends to be enormous, which is related to the scale-free phenomenon.
In this lecture for a broad audience, we describe a few real-world networks and some of their empirical properties. We also describe the effectiveness of abstract network modeling in terms of graphs and how real-world networks can be modeled, as well as how these models help us to give sense to the empirical findings. We continue by discussing some random graph models for real-world networks and their properties, as well as their merits and flaws as network models. We conclude by discussing the implications of some of the empirical findings on information diffusion and competition on such networks.
We assume no prior knowledge in graph theory, probability or otherwise.
https://www.aparat.com/v/gryA3
Abstract:
Many phenomena in the real world can be phrased in terms of networks. Examples include the World-Wide Web, social interactions and Internet, but also the interaction patterns between proteins, food webs and citation networks.
Many large-scale networks have, despite their diversity in backgrounds, surprisingly much in common. Many of these networks are small worlds, in the sense that one requires few links to hop between pairs of vertices. Also the variability of the number of connections between elements tends to be enormous, which is related to the scale-free phenomenon.
In this lecture for a broad audience, we describe a few real-world networks and some of their empirical properties. We also describe the effectiveness of abstract network modeling in terms of graphs and how real-world networks can be modeled, as well as how these models help us to give sense to the empirical findings. We continue by discussing some random graph models for real-world networks and their properties, as well as their merits and flaws as network models. We conclude by discussing the implications of some of the empirical findings on information diffusion and competition on such networks.
We assume no prior knowledge in graph theory, probability or otherwise.
آپارات - سرویس اشتراک ویدیو
The Structure of Complex Networks: Scale-Free and Small-World Random Graphs
Remco van der HofstadAbstract:Many phenomena in the real world can be phrased in terms of networks. Examples include the World-Wide Web, social interactions and Internet, but also the interaction patterns between proteins, food webs and citation networks.Many…
Scaling limits: from statistical mechanics to manifolds
September 1-3, 2021
http://www.statslab.cam.ac.uk/james60
This workshop will take James' work as a jumping-off point for an exploration of future research directions in probability. There will be 16 invited talks loosely covering the following themes:
Random growth processes and SPDEs
Yang-Mills measure
Limits of random graphs, random planar maps, and fragmentation processes
Markov chains, interacting particle systems and fluid limits
Diffusion processes and heat kernels.
September 1-3, 2021
http://www.statslab.cam.ac.uk/james60
This workshop will take James' work as a jumping-off point for an exploration of future research directions in probability. There will be 16 invited talks loosely covering the following themes:
Random growth processes and SPDEs
Yang-Mills measure
Limits of random graphs, random planar maps, and fragmentation processes
Markov chains, interacting particle systems and fluid limits
Diffusion processes and heat kernels.
Gady Kozma, Weizmann Institute
🎞 Critical and Near-Critical Percolation - 1
🎞 Critical and Near-Critical Percolation - 2
🎞 Critical and Near-Critical Percolation - 3
Video From 20ss230: Online Open Probability School
🎞 Critical and Near-Critical Percolation - 1
🎞 Critical and Near-Critical Percolation - 2
🎞 Critical and Near-Critical Percolation - 3
Video From 20ss230: Online Open Probability School
www.birs.ca
20ss230: Online Open Probability School | Banff International Research Station
Workshop at the Banff International Research Station in Banff, Alberta between May 17 and Aug 13, 2020: Online Open Probability School.
Souvik Dhara, Micrsoft Research and MIT
🎞 Critical percolation on random networks with given degrees
Files related to this video
🎞 Critical percolation on random networks with given degrees
Files related to this video
Yuval Peres, Microsoft Research
🎞 Random walks on dynamical percolation
17w5119: Stochastic Analysis and its Applications
🎞 Random walks on dynamical percolation
17w5119: Stochastic Analysis and its Applications
Remco Van der Hofstad, TU Eindhoven
🎞 Progress in high-dimensional percolation
16w5085: Random Structures in High Dimensions
🎞 Progress in high-dimensional percolation
16w5085: Random Structures in High Dimensions
Introduction to percolation theory.
Hugo Duminil-Copin
October 7, 2018
Abstract. These lecture notes present the content of a 10 hours class given for the Master 2 of Paris-Saclay.
Hugo Duminil-Copin
October 7, 2018
Abstract. These lecture notes present the content of a 10 hours class given for the Master 2 of Paris-Saclay.
🎞 Hugo Duminil-Copin - Sharp threshold phenomena in Statistical Physics
In this course, we will present different techniques developed over the past few years, enabling mathematicians to prove that phase transitions are sharp. We will focus on a few classical models of statistical physics, including Bernoulli percolation, the Ising model and the random-cluster model.
Organisé par Emmanuel Ullmo
Mars/avril 2017
In this course, we will present different techniques developed over the past few years, enabling mathematicians to prove that phase transitions are sharp. We will focus on a few classical models of statistical physics, including Bernoulli percolation, the Ising model and the random-cluster model.
Organisé par Emmanuel Ullmo
Mars/avril 2017
YouTube
Hugo Duminil-Copin - Sharp threshold phenomena in Statistical Physics - YouTube
Academics are one of the biggest groups using the #TwitterAPI to research what’s happening. Their work helps make the world (& Twitter) a better place, and now more than ever, we must enable more of it.
Introducing 🥁 the Academic Research product track!
https://t.co/nOFiGewAV2
Introducing 🥁 the Academic Research product track!
https://t.co/nOFiGewAV2
Twitter
Enabling the future of academic research with the Twitter API
Today we’re excited to launch the Academic Research product track on the new Twitter API.
3-year POSTDOC for an observer, computer scientist, or enthusiastic individual who just wants to play with state-of-the-art data from the latest space telescope @NASAWebb
Come join me at Bristol to work on guaranteed observations of #exoplanet atmospheres
https://t.co/ZubtGD2VoT
Come join me at Bristol to work on guaranteed observations of #exoplanet atmospheres
https://t.co/ZubtGD2VoT
💰 Applications open for 33 #PhD studentships in applied maths, statistics & machine learning with exciting application areas in @ucddublin @MACSI @MU_Hamilton
Apply directly on our application portal
https://t.co/b5xe239wwr
Closing date Feb 5th 2021
Start date Sept 1st 2021!📈
Apply directly on our application portal
https://t.co/b5xe239wwr
Closing date Feb 5th 2021
Start date Sept 1st 2021!📈
2020 is almost over, we can get ready for 2021! Apply now for the Spring College on the Physics of Complex Systems: https://t.co/eoXGuCUTdT
#ComplexSystems
#ComplexSystems
Unlocking US vaccine distribution
COVID vaccine distribution in the United States has been hobbled by a web of mismatched technology systems, inconsistent vaccine supplies, under-resourced states and a lack of coordination about getting shots to people once they arrive at local clinics. US President Joe Biden's administration has a goal of delivering 100 million doses in 100 days. To keep that promise, experts say the federal government will need to supply states with better resources and technology. “National coordination will be a game-changer,” says Hana Schank, from the think-tank New America
https://www.technologyreview.com/2021/01/27/1016790/covid-vaccine-distribution-us
COVID vaccine distribution in the United States has been hobbled by a web of mismatched technology systems, inconsistent vaccine supplies, under-resourced states and a lack of coordination about getting shots to people once they arrive at local clinics. US President Joe Biden's administration has a goal of delivering 100 million doses in 100 days. To keep that promise, experts say the federal government will need to supply states with better resources and technology. “National coordination will be a game-changer,” says Hana Schank, from the think-tank New America
https://www.technologyreview.com/2021/01/27/1016790/covid-vaccine-distribution-us
MIT Technology Review
This is how America gets its vaccines
The Biden administration has inherited a web of tech systems and policies that it must navigate to meet its goal of administering 100 million doses in the first 100 days.