2022 ICTP Dirac Medal Winners Announced: Three share prize for fundamental work in statistical mechanics
Video Explainer: ICTP 2022 Dirac Medallists' Work
European Physical Journal H published a conversation with Joel about his life and career. Read it here.
Video Explainer: ICTP 2022 Dirac Medallists' Work
European Physical Journal H published a conversation with Joel about his life and career. Read it here.
Complexity matters: the fiftieth anniversary of Philip Anderson’s landmark essay ‘More is Different’.
https://www.nature.com/articles/s41567-022-01734-5
The point of More is Different is that a reductionist approach does not imply a ‘constructionist’ one. One cannot use the laws learned at a certain scale as building blocks to directly explain the emergent properties at higher scales. Reality is a collection of layers of emergence, and all the laws and frameworks needed to understand them share the same universal and fundamental quality. From this perspective, chemistry is not just applied physics, biology is not just applied chemistry — all the way up to sociology, which is not just applied psychology.
https://www.nature.com/articles/s41567-022-01734-5
The point of More is Different is that a reductionist approach does not imply a ‘constructionist’ one. One cannot use the laws learned at a certain scale as building blocks to directly explain the emergent properties at higher scales. Reality is a collection of layers of emergence, and all the laws and frameworks needed to understand them share the same universal and fundamental quality. From this perspective, chemistry is not just applied physics, biology is not just applied chemistry — all the way up to sociology, which is not just applied psychology.
Forwarded from Sitpor.org سیتپـــــور
کتابهایی برای مردم درباره پیچیدگی به انتخاب پتر
(به همراه جستاری در مورد آثار عامهپسند)
این کتابها برای مردم عادی نوشته شدهاند و تغییر قابل توجهی در نگاه مردم به انگاره پیچیدگی ایجاد کردهاند.
🔗 sitpor.org/2022/08/complexity-science-books
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#سیتپـــــور به خاطر روایتگری در علم
(به همراه جستاری در مورد آثار عامهپسند)
این کتابها برای مردم عادی نوشته شدهاند و تغییر قابل توجهی در نگاه مردم به انگاره پیچیدگی ایجاد کردهاند.
🔗 sitpor.org/2022/08/complexity-science-books
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@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
👍1
#Postdoc researcher in Network Science (3 years)
The position is for 3 years, in a friendly academic atmosphere, and offers quite a bit of freedom for the candidate. See the details below, or the university job ad page: https://www.universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-503postdoctoral-researcher-in-network-science-3-years-0.8-1.0-fte
The position is for 3 years, in a friendly academic atmosphere, and offers quite a bit of freedom for the candidate. See the details below, or the university job ad page: https://www.universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-503postdoctoral-researcher-in-network-science-3-years-0.8-1.0-fte
"Northwestern University research team has discovered a ubiquitous property of a complex network and developed a novel computational method that... exploit[s] that property to control the whole network using only local information."
https://techxplore.com/news/2022-07-failures-large-networks-local-focus.html
https://techxplore.com/news/2022-07-failures-large-networks-local-focus.html
Tech Xplore
Failures in large networks can be prevented with local focus
We live in an increasingly connected world, a fact underscored by the swift spread of the coronavirus around the globe. Underlying this connectivity are complex networks—global air transportation, the ...
Information theory: A foundation for complexity science
Amos Golan and John Harte
https://www.pnas.org/doi/abs/10.1073/pnas.2119089119?af=R
Abstract
Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting in an underdetermined inference problem; multiple inferences, models, and theories are consistent with available information. Information theory (in particular, the maximum information entropy formalism) provides a way to deal with such complexity. It has been applied to numerous problems, within and across many disciplines, over the last few decades. In this perspective, we review the historical development of this procedure, provide an overview of the many applications of maximum entropy and its extensions to complex systems, and discuss in more detail some recent advances in constructing comprehensive theory based on this inference procedure. We also discuss efforts at the frontier of information-theoretic inference: application to complex dynamic systems with time-varying constraints, such as highly disturbed ecosystems or rapidly changing economies.
Amos Golan and John Harte
https://www.pnas.org/doi/abs/10.1073/pnas.2119089119?af=R
Abstract
Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting in an underdetermined inference problem; multiple inferences, models, and theories are consistent with available information. Information theory (in particular, the maximum information entropy formalism) provides a way to deal with such complexity. It has been applied to numerous problems, within and across many disciplines, over the last few decades. In this perspective, we review the historical development of this procedure, provide an overview of the many applications of maximum entropy and its extensions to complex systems, and discuss in more detail some recent advances in constructing comprehensive theory based on this inference procedure. We also discuss efforts at the frontier of information-theoretic inference: application to complex dynamic systems with time-varying constraints, such as highly disturbed ecosystems or rapidly changing economies.
Fully funded scholarship for #PhD students "with a background in computational social science, digital humanities, and/or data science". Great opportunity to study and do research in our team.
https://t.co/xd60k00RwY
https://t.co/xd60k00RwY
The University of Sydney
Computational Social Science Lab
We are looking for PhD students to work on interdisciplinary computational social science projects under the supervision of the core faculty of the CSS Lab.
#PhD position in Mathematical Foundations of Large Evolving Networks
https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-position-in-mathematical-foundations-of-large-evolving-networks-10-fte
https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-position-in-mathematical-foundations-of-large-evolving-networks-10-fte
So you think you know the slope of your power-law?
Yasser Roudi, Kavli Institute for Systems Neuroscience, Norway
Online Talk | Complex Systems | Aalto University
Tuesday, Aug 30, 2022
11:15 Finland Time (EEST)
Link: bit.ly/3AgmOmr
My aim in this talk is to discuss the potential pitfalls that one faces in such efforts and to promote a Bayesian interpolation framework for this purpose. I assume "power law scaling" is indeed present in the data, and discuss the difficulties and pitfalls in estimating the exponent. I do this both for synthetic and real data. Establishing that a "power law scaling" is indeed present is much more difficult. This talk is based on Davidovich & Roudi, Bayesian interpolation for power laws in neural data analysis, arXiv:2204.08525
Yasser Roudi, Kavli Institute for Systems Neuroscience, Norway
Online Talk | Complex Systems | Aalto University
Tuesday, Aug 30, 2022
11:15 Finland Time (EEST)
Link: bit.ly/3AgmOmr
My aim in this talk is to discuss the potential pitfalls that one faces in such efforts and to promote a Bayesian interpolation framework for this purpose. I assume "power law scaling" is indeed present in the data, and discuss the difficulties and pitfalls in estimating the exponent. I do this both for synthetic and real data. Establishing that a "power law scaling" is indeed present is much more difficult. This talk is based on Davidovich & Roudi, Bayesian interpolation for power laws in neural data analysis, arXiv:2204.08525
Our work about multilayer network science is finally out!
This is something like a short technical book, part of the Cambridge Elements series on structure and dynamics of networks.
Free pdf for 2 weeks here
https://t.co/IbDe0pYR7i
This is something like a short technical book, part of the Cambridge Elements series on structure and dynamics of networks.
Free pdf for 2 weeks here
https://t.co/IbDe0pYR7i
Twitter
Tweet / Twitter
👍2
New BCCN Pre-Doc internship program is now open for applications. https://www.bccn-berlin.de/call-for-application-pre-doc-internships.html
We accept four interns per year for a six-month internship - preferably from the global south countries. Internships are paid with 1468.- €/month plus travel.
We accept four interns per year for a six-month internship - preferably from the global south countries. Internships are paid with 1468.- €/month plus travel.
www.bccn-berlin.de
Call for application - Pre-Doc Internships - BCCN
Application Pre-Doc Internships
Graph Limits and Processes on Networks: From Epidemics to Misinformation Boot Camp
Aug 29, 2022 to Sep 2, 2022
https://simons.berkeley.edu/workshops/graph2022-bc
The boot camp is intended to acquaint program participants with the key themes of the program. It will consist of five days of tutorial presentations from leading experts in the topics of the program.
Aug 29, 2022 to Sep 2, 2022
https://simons.berkeley.edu/workshops/graph2022-bc
The boot camp is intended to acquaint program participants with the key themes of the program. It will consist of five days of tutorial presentations from leading experts in the topics of the program.
Simons Institute for the Theory of Computing
Graph Limits and Processes on Networks: From Epidemics to Misinformation Boot Camp
The boot camp is intended to acquaint program participants with the key themes of the program. It will consist of five days of tutorial presentations from leading experts in the topics of the program.
U.S. FDA authorizes two COVID boosters targeted at Omicron subvariants reut.rs/3Q3b5gP
Reuters
U.S. FDA green lights Omicron-targeted COVID boosters ahead of revaccination campaign
The government is preparing for a broad fall vaccination campaign that could begin within days.
Fixed-term position for a doctoral researcher/project researcher or research assistant in microbiome bioinformatics and data science
The Department of Computing at the University of Turku is searching for a doctoral researcher/project researcher or a research assistant in microbiome bioinformatics starting from 1.1.2023, or later according to a mutual agreement. This fixed-term position ends 28.2.2025. The position is full-time, but part-time work is also possible based on mutual understanding.
#phd https://rekry.saima.fi/certiahome/open_job_view.html?id=000013860&did=5600&lang=en&jc=14&nav_from_open_jobs_view_new=true
The Department of Computing at the University of Turku is searching for a doctoral researcher/project researcher or a research assistant in microbiome bioinformatics starting from 1.1.2023, or later according to a mutual agreement. This fixed-term position ends 28.2.2025. The position is full-time, but part-time work is also possible based on mutual understanding.
#phd https://rekry.saima.fi/certiahome/open_job_view.html?id=000013860&did=5600&lang=en&jc=14&nav_from_open_jobs_view_new=true
"Two days with Giorgio Parisi in Paris" - October 13-14, 2022
https://sites.google.com/view/parisiday-ens/home
https://sites.google.com/view/parisiday-ens/home
#PhD position in Mathematical Foundations of Large Evolving Networks at Utrecht
mathjobs.org/jobs/list/20434
mathjobs.org/jobs/list/20434
mathjobs.org
MathJobs from the the American Mathematical Society
Mathjobs is an automated job application system sponsored by the AMS.
Giorgio Parisi's scientific portray: Complex Systems and much more
Leticia F. Cugliandolo
https://t.co/zrsqcc1kwg
This article summarises the outstanding scientific career of Giorgio Parisi, who was awarded the 2021 Nobel Prize in Physics, with special emphasis on his contributions to the description of the equilibrium properties of disordered systems.
Leticia F. Cugliandolo
https://t.co/zrsqcc1kwg
This article summarises the outstanding scientific career of Giorgio Parisi, who was awarded the 2021 Nobel Prize in Physics, with special emphasis on his contributions to the description of the equilibrium properties of disordered systems.