Interested in #InfectiousDiseases #statistics #modeling?
Check out #SISMID Summer Institute in Statistics and Modeling in Infectious Diseases @UWBiostat - offered online this year!
https://t.co/dz9EGnfJeF
Check out #SISMID Summer Institute in Statistics and Modeling in Infectious Diseases @UWBiostat - offered online this year!
https://t.co/dz9EGnfJeF
Would you like to become an #highperformancecomputing expert? Would you like to become a #MachineLearning geek?
Join the @mhpc_sissa_ictp master held in Trieste by Sissa and ictp, two amazing scientific institutions! #Science #innovation #MachineLearning #aiforgood
standard #Applications for MHPC 2020/2021 are now open!
Here you can find the link to submit your application: https://t.co/aVPjQkT4bX
Join the @mhpc_sissa_ictp master held in Trieste by Sissa and ictp, two amazing scientific institutions! #Science #innovation #MachineLearning #aiforgood
standard #Applications for MHPC 2020/2021 are now open!
Here you can find the link to submit your application: https://t.co/aVPjQkT4bX
Two #PhD Positions in Experimental Condensed Matter Physics (f/m/d)
https://bit.ly/2ylYfIS
JOB DESCRIPTION
(part-time 75%, E 13 TV-L)
Two doctoral positions are available in the research field of superconducting spintronics and superconducting devices for technological applications. The research projects focus on combining superconductor and ferromagnet materials to fabricate electronic devices with high energy efficiency for large data centers and quantum technology applications. The doctoral positions are funded by the Alexander von Humboldt Foundation through a Sofja Kovalevskaja research grant and by the DFG SPP2244 program “2D Materials – Physics of van der Waals [hetero]structures (2DMP)”, respectively. The research has a strong interdisciplinary focus, at the intersection between materials science, condensed matter physics and low-temperature physics. The working language is English.
https://bit.ly/2ylYfIS
JOB DESCRIPTION
(part-time 75%, E 13 TV-L)
Two doctoral positions are available in the research field of superconducting spintronics and superconducting devices for technological applications. The research projects focus on combining superconductor and ferromagnet materials to fabricate electronic devices with high energy efficiency for large data centers and quantum technology applications. The doctoral positions are funded by the Alexander von Humboldt Foundation through a Sofja Kovalevskaja research grant and by the DFG SPP2244 program “2D Materials – Physics of van der Waals [hetero]structures (2DMP)”, respectively. The research has a strong interdisciplinary focus, at the intersection between materials science, condensed matter physics and low-temperature physics. The working language is English.
💰 Applications for the Ph.D. program in Computer Science or Modeling and Data Science at @unito are now open (deadline June 4th).
Feel free to reach out if you need more information. https://t.co/VLAt5ttRlx #phd
Feel free to reach out if you need more information. https://t.co/VLAt5ttRlx #phd
University of Turin
PhD programmes
Discover the full list of PhD programmes
The effect of social balance on social fragmentation
Tuan Minh Pham, Imre Kondor, Rudolf Hanel, Stefan Thurner
Download PDF
With the availability of cell phones, internet, social media etc. the interconnectedness of people within most societies has increased drastically over the past three decades. Across the same timespan, we are observing the phenomenon of increasing levels of fragmentation in society into relatively small and isolated groups that have been termed filter bubbles, or echo chambers. These pose a number of threats to open societies, in particular, a radicalisation in political, social or cultural issues, and a limited access to facts. In this paper we show that these two phenomena might be tightly related. We study a simple stochastic co-evolutionary model of a society of interacting people. People are not only able to update their opinions within their social context, but can also update their social links from collaborative to hostile, and vice versa. The latter is implemented such that social balance is realised. We find that there exists a critical level of interconnectedness, above which society fragments into small sub-communities that are positively linked within and hostile towards other groups. We argue that the existence of a critical communication density is a universal phenomenon in all societies that exhibit social balance. The necessity arises from the underlying mathematical structure of a phase transition phenomenon that is known from the theory of a kind of disordered magnets called spin glasses. We discuss the consequences of this phase transition for social fragmentation in society.
Tuan Minh Pham, Imre Kondor, Rudolf Hanel, Stefan Thurner
Download PDF
With the availability of cell phones, internet, social media etc. the interconnectedness of people within most societies has increased drastically over the past three decades. Across the same timespan, we are observing the phenomenon of increasing levels of fragmentation in society into relatively small and isolated groups that have been termed filter bubbles, or echo chambers. These pose a number of threats to open societies, in particular, a radicalisation in political, social or cultural issues, and a limited access to facts. In this paper we show that these two phenomena might be tightly related. We study a simple stochastic co-evolutionary model of a society of interacting people. People are not only able to update their opinions within their social context, but can also update their social links from collaborative to hostile, and vice versa. The latter is implemented such that social balance is realised. We find that there exists a critical level of interconnectedness, above which society fragments into small sub-communities that are positively linked within and hostile towards other groups. We argue that the existence of a critical communication density is a universal phenomenon in all societies that exhibit social balance. The necessity arises from the underlying mathematical structure of a phase transition phenomenon that is known from the theory of a kind of disordered magnets called spin glasses. We discuss the consequences of this phase transition for social fragmentation in society.
A 2020 Vision of Linear Algebra
These six brief videos, recorded in 2020, contain ideas and suggestions from Professor Strang about the recommended order of topics in teaching and learning linear algebra.
https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020/index.htm
https://youtu.be/YrHlHbtiSM0
These six brief videos, recorded in 2020, contain ideas and suggestions from Professor Strang about the recommended order of topics in teaching and learning linear algebra.
https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020/index.htm
https://youtu.be/YrHlHbtiSM0
💰 2-year #postdoc in quant. social science for a project on knowledge hierarchies and careers in science:
https://t.co/Fab1olVaix
The postdoc will work at Dept. of Sociology uni copenhagen
https://t.co/Fab1olVaix
The postdoc will work at Dept. of Sociology uni copenhagen
Complex Systems Studies
چهارشنبه ساعت ۵/۵ عصر به وقت تهران. http://indico.ictp.it/event/9357/overview Abstract The data science revolution is finally enabling the development of large-scale data-driven models that provide real- or near-real-time forecasts and risk analysis for infectious…
🦠 سخنرانی الساندرو وسپینانی با موضوع «همهگیرشناسی محاسباتی در زمان کوید-۱۹» بهترین و جامعترین سخنرانی بود که در مورد مدلسازی همهگیری کرونا در این مدت دیدهام. این سخنرانی برای افراد با پیشزمینههای علمی متفاوت یقینا سودمند خواهد بود. برای دنبال کردن این سخنرانی، نیازی نیست که حتما دانشمند شبکه یا فیزیکدان باشید! اگر در جایگاه مدیریت و سیاستگذاری هم باشید، این ویدیو حرفهای مهمی برای شما دارد!
🎞 ویدیو ضبط شده:
https://youtu.be/chgW1Kg-GsE
https://www.aparat.com/v/XxIpE
💡 همینطور این نوشته که در Nature Reviews Physics منتشر شده به عنوان متن به شدت مرتبط با این سخنرانی رو از دست ندین:
Modelling COVID-19
As the COVID-19 pandemic continues, mathematical epidemiologists share their views on what models reveal about how the disease has spread, the current state of play and what work still needs to be done.
🔗 https://www.nature.com/articles/s42254-020-0178-4
🎞 ویدیو ضبط شده:
https://youtu.be/chgW1Kg-GsE
https://www.aparat.com/v/XxIpE
💡 همینطور این نوشته که در Nature Reviews Physics منتشر شده به عنوان متن به شدت مرتبط با این سخنرانی رو از دست ندین:
Modelling COVID-19
As the COVID-19 pandemic continues, mathematical epidemiologists share their views on what models reveal about how the disease has spread, the current state of play and what work still needs to be done.
🔗 https://www.nature.com/articles/s42254-020-0178-4
YouTube
Computational Epidemiology at the time of COVID-19 - Joint ICTP-SISSA Colloquium
Dr. Alessandro Vespignani, NETsi, Northeastern University, USA
Abstract:
The data science revolution is finally enabling the development of large-scale data-driven models that provide real- or near-real-time forecasts and risk analysis for infectious disease…
Abstract:
The data science revolution is finally enabling the development of large-scale data-driven models that provide real- or near-real-time forecasts and risk analysis for infectious disease…
Complex Systems Studies
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…
ویدیوهای این مجموعه به روی آپارات:
https://www.aparat.com/playlist/385777
https://www.aparat.com/playlist/385777
A Network Science Summer Course for High School Students
Florian Klimm, Benjamin F. Maier
Download PDF
We discuss a two-week summer course on Network Science that we taught for high school pupils. We present the concepts and contents of the course, evaluate them, and make the course material available.
Florian Klimm, Benjamin F. Maier
Download PDF
We discuss a two-week summer course on Network Science that we taught for high school pupils. We present the concepts and contents of the course, evaluate them, and make the course material available.
در این کانال مجموعهی بزرگی از ویدیوهای مربوط به یادگیری برنامهنویسی و کار با داده وجود داره:
https://www.aparat.com/datasience
https://www.aparat.com/datasience
What are some useful, but little-known, features of the tools used in professional mathematics?
https://terrytao.wordpress.com/2017/07/07/what-are-some-useful-but-little-known-features-of-the-tools-used-in-professional-mathematics/
https://terrytao.wordpress.com/2017/07/07/what-are-some-useful-but-little-known-features-of-the-tools-used-in-professional-mathematics/
What's new
What are some useful, but little-known, features of the tools used in professional mathematics?
A few days ago, I was talking with Ed Dunne, who is currently the Executive Editor of Mathematical Reviews (and in particular with its online incarnation at MathSciNet). At the time, I was mention…
Complex Systems Studies
🦠 سخنرانی الساندرو وسپینانی با موضوع «همهگیرشناسی محاسباتی در زمان کوید-۱۹» بهترین و جامعترین سخنرانی بود که در مورد مدلسازی همهگیری کرونا در این مدت دیدهام. این سخنرانی برای افراد با پیشزمینههای علمی متفاوت یقینا سودمند خواهد بود. برای دنبال کردن این…
آپارات - سرویس اشتراک ویدیو
Computational Epidemiology at the time of COVID-19 - Joint ICTP-SISSA Colloquium
Dr. Alessandro Vespignani, NETsi, Northeastern University, USAI will review and discuss recent results and challenges in the area, and focus on ongoing work aimed at responding to the COVID-19 pandemic.
Efficient limited-time reachability estimation in temporal networks
Arash Badie-Modiri, Márton Karsai, and Mikko Kivelä
https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052303
Abstract
Time-limited states characterize many dynamical processes on networks: disease-infected individuals recover after some time, people forget news spreading on social networks, or passengers may not wait forever for a connection. These dynamics can be described as limited-waiting-time processes, and they are particularly important for systems modeled as temporal networks. These processes have been studied via simulations, which is equivalent to repeatedly finding all limited-waiting-time temporal paths from a source node and time. We propose a method yielding an orders-of-magnitude more efficient way of tracking the reachability of such temporal paths. Our method gives simultaneous estimates of the in- or out-reachability (with any chosen waiting-time limit) from every possible starting point and time. It works on very large temporal networks with hundreds of millions of events on current commodity computing hardware. This opens up the possibility to analyze reachability and dynamics of spreading processes on large temporal networks in completely new ways. For example, one can now compute centralities based on global reachability for all events or can find with high probability the infected node and time, which would lead to the largest epidemic outbreak.
Arash Badie-Modiri, Márton Karsai, and Mikko Kivelä
https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052303
Abstract
Time-limited states characterize many dynamical processes on networks: disease-infected individuals recover after some time, people forget news spreading on social networks, or passengers may not wait forever for a connection. These dynamics can be described as limited-waiting-time processes, and they are particularly important for systems modeled as temporal networks. These processes have been studied via simulations, which is equivalent to repeatedly finding all limited-waiting-time temporal paths from a source node and time. We propose a method yielding an orders-of-magnitude more efficient way of tracking the reachability of such temporal paths. Our method gives simultaneous estimates of the in- or out-reachability (with any chosen waiting-time limit) from every possible starting point and time. It works on very large temporal networks with hundreds of millions of events on current commodity computing hardware. This opens up the possibility to analyze reachability and dynamics of spreading processes on large temporal networks in completely new ways. For example, one can now compute centralities based on global reachability for all events or can find with high probability the infected node and time, which would lead to the largest epidemic outbreak.
Physical Review E
Efficient limited-time reachability estimation in temporal networks
Time-limited states characterize many dynamical processes on networks: disease-infected individuals recover after some time, people forget news spreading on social networks, or passengers may not wait forever for a connection. These dynamics can be described…
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Stochastic Processes: Data Analysis and Computer Simulation
https://www.edx.org/course/stochastic-processes-data-analysis-and-computer-si
The course deals with how to simulate and analyze stochastic processes, in particular the dynamics of small particles diffusing in a fluid.
What you'll learn
Basic Python programming
Basic theories of stochastic processes
Simulation methods for a Brownian particle
Application: analysis of financial data
https://www.edx.org/course/stochastic-processes-data-analysis-and-computer-si
The course deals with how to simulate and analyze stochastic processes, in particular the dynamics of small particles diffusing in a fluid.
What you'll learn
Basic Python programming
Basic theories of stochastic processes
Simulation methods for a Brownian particle
Application: analysis of financial data
margins.gif
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Margins!
https://fermatslibrary.com/margins
A free online repository where you can:
- Save and annotate your papers
- Share papers and collaborate with anyone
- Annotate using LaTeX, Code, Markdown and more
https://fermatslibrary.com/margins
A free online repository where you can:
- Save and annotate your papers
- Share papers and collaborate with anyone
- Annotate using LaTeX, Code, Markdown and more
Ryanair, Hamiltonian Cycles, and using graph theory to find cheap flights
https://blog.jldc.me/posts/ryan-air
https://blog.jldc.me/posts/ryan-air
JonLuca’s Blog
JonLuca’s Blog - A blog about tech, programming, and finance
Forwarded from انجمن علمی ژرفا
💠 مجموعه وبینارهای قرنطینه
🔖 جلسهی دوم: «علوم کامپیوتر نظری: گذشته، حال و آینده»
👤 دکتر امیر دانشگر
📒 چهارشنبه، ۲۴ اردیبهشتماه؛ ساعت ۱۷ تا ۱۹
🔸 جهت شرکت در این جلسه، در زمان برگزاری بهعنوان مهمان وارد لینک زیر شوید:
vclass.ecourse.sharif.edu/ch/alishahi
© @hamband_math_cs
🆔 @Zharfa90
🔖 جلسهی دوم: «علوم کامپیوتر نظری: گذشته، حال و آینده»
👤 دکتر امیر دانشگر
📒 چهارشنبه، ۲۴ اردیبهشتماه؛ ساعت ۱۷ تا ۱۹
🔸 جهت شرکت در این جلسه، در زمان برگزاری بهعنوان مهمان وارد لینک زیر شوید:
vclass.ecourse.sharif.edu/ch/alishahi
© @hamband_math_cs
🆔 @Zharfa90
Adventures in the Theoretical Sciences
Thursdays and Fridays 11AM - 1PM EDT, June - July, 2020
June 4 and 5 Few-body and many-body chaos, Vladimir Rosenhaus
June 11 and 12 Multi-parameter models and information geometry, Katherine Quinn
June 18 and 19 Statistical physics and machine learning, David J. Schwab
June 25 and 26 Big universe, big data: Emerging challenges in astrophysics, Viviana Acquaviva
July 2 and 3 Precision and emergence in the physics of life, William Bialek
July 9 and 10 Driven quantum systems, Vadim Oganesyan
https://itsatcuny.org/news/2020/5/11/adventures-in-the-theoretical-sciences-2020
Thursdays and Fridays 11AM - 1PM EDT, June - July, 2020
June 4 and 5 Few-body and many-body chaos, Vladimir Rosenhaus
June 11 and 12 Multi-parameter models and information geometry, Katherine Quinn
June 18 and 19 Statistical physics and machine learning, David J. Schwab
June 25 and 26 Big universe, big data: Emerging challenges in astrophysics, Viviana Acquaviva
July 2 and 3 Precision and emergence in the physics of life, William Bialek
July 9 and 10 Driven quantum systems, Vadim Oganesyan
https://itsatcuny.org/news/2020/5/11/adventures-in-the-theoretical-sciences-2020