Forwarded from انجمن علمی فیزیک شریف (Sadegh Rahimi)
تمدید مهلت ثبت نام بیست و نهمین گردهمایی فیزیک ماده چگال
دوستان، همکاران و دانشجویان گرامی
با سلام
احتراما به اطلاع می رساند زمان ثبت نام بیست و نهمین گردهمایی فیزیک ماده چگال دانشگاه تحصیلات تکمیلی علوم پایه زنجان تا تاریخ ۷ ام اردیبهشت ماه تمدید شد.
از همه علاقه‌مندانی که تا کنون موفق به ثبت نام نشده اند دعوت می شود جهت ثبت نام و ارسال مقاله به وبسایت گردهمایی در آدرس زیر مراجعه نمایند:
https://iasbs.ac.ir/~condmat-meeting/m29/
با احترام
سید سعید سیوف جهرمی
دبیر بیست و نهمین گردهمایی فیزیک ماده چگال
دوستان، همکاران و دانشجویان گرامی
با سلام
احتراما به اطلاع می رساند زمان ثبت نام بیست و نهمین گردهمایی فیزیک ماده چگال دانشگاه تحصیلات تکمیلی علوم پایه زنجان تا تاریخ ۷ ام اردیبهشت ماه تمدید شد.
از همه علاقه‌مندانی که تا کنون موفق به ثبت نام نشده اند دعوت می شود جهت ثبت نام و ارسال مقاله به وبسایت گردهمایی در آدرس زیر مراجعه نمایند:
https://iasbs.ac.ir/~condmat-meeting/m29/
با احترام
سید سعید سیوف جهرمی
دبیر بیست و نهمین گردهمایی فیزیک ماده چگال
Are you doing a PhD or are you looking for a PhD position in the area of AI? The consider submitting to our Doctoral Symposium at the 47th German Conference on AI, held in September in Würzburg!
Deadline: June 17th, https://www.informatik.uni-wuerzburg.de/ki24/submissions/doctorial-symposium
Deadline: June 17th, https://www.informatik.uni-wuerzburg.de/ki24/submissions/doctorial-symposium
Beyond Bayesians and Frequentists
https://jsteinhardt.stat.berkeley.edu/blog/beyond-bayesians-and-frequentists
https://jsteinhardt.stat.berkeley.edu/blog/beyond-bayesians-and-frequentists
Jacob Steinhardt
Beyond Bayesians and Frequentists
(This is available in pdf form here.)If you are a newly initiated student into the field of machine learning, it won’t be long before you start hearing the words “Bayesian” and “frequentist” thrown around. Many people around you probably have strong opinions…
Which links matter most? Sparsifying epidemic models with effective resistance, Cristopher Moore:
https://youtu.be/Ln_CIhxV840
Network science has increasingly become central to the field of epidemiology. However, many networks derived from modern datasets are not just large, but dense, with a high average degree. One way to reduce the computational cost of simulating epidemics on these networks is sparsification, where a subset of edges is selected and reweighted based on some measure of their importance. Following recent work in computer science, we find that the most accurate approach uses the effective resistances of edges, which can be computed from the graph Laplacian. The resulting sparse network preserves both the local and global behavior of the SIR model, including the probability each node becomes infected and its distribution of arrival times. This holds even when the sparse network preserves less than 10% of the edges of a mobility network from the United States. Our work helps illuminate which links of a network are most important to disease spread. Defining edge importance using purely topological methods, or by thresholding edge weights, does not perform nearly as well.
https://youtu.be/Ln_CIhxV840
Network science has increasingly become central to the field of epidemiology. However, many networks derived from modern datasets are not just large, but dense, with a high average degree. One way to reduce the computational cost of simulating epidemics on these networks is sparsification, where a subset of edges is selected and reweighted based on some measure of their importance. Following recent work in computer science, we find that the most accurate approach uses the effective resistances of edges, which can be computed from the graph Laplacian. The resulting sparse network preserves both the local and global behavior of the SIR model, including the probability each node becomes infected and its distribution of arrival times. This holds even when the sparse network preserves less than 10% of the edges of a mobility network from the United States. Our work helps illuminate which links of a network are most important to disease spread. Defining edge importance using purely topological methods, or by thresholding edge weights, does not perform nearly as well.
YouTube
Recording of Network Science Colloquium Series Cristopher Moore
Network Science Colloquium Series, 03/27/2024
Cristopher Moore
Which links matter most? Sparsifying epidemic models with effective resistance
Network science has increasingly become central to the field of epidemiology. However, many networks derived from…
Cristopher Moore
Which links matter most? Sparsifying epidemic models with effective resistance
Network science has increasingly become central to the field of epidemiology. However, many networks derived from…
I have several open shorter-term #postdoc positions in my lab that focus on the intersection of networks, artitficial intelligence and biodiversity. Some of these would be particularly suitable for people with Bio backgrounds, others are more Physicsy. DM me if interested: thilo2gross@gmail.com
Entropy, irreversibility and inference at the foundations of statistical physics
https://www.nature.com/articles/s42254-024-00720-5
Statistical physics relates the properties of macroscale systems to the distributions of their microscale agents. Its central tool has been the maximization of entropy, an equilibrium variational principle. Recent work has sought extensions to non-equilibria: across processes of change both fast and slow, in the Jarzynski equality and fluctuation relations and other tools of stochastic thermodynamics, using large deviation theory or others. When recognized as an inference principle, entropy maximization can be generalized for non-equilibria and applied to path entropies rather than state entropies, becoming the principle of maximum caliber, which we emphasize in this Review. Our primary goal is to enhance crosstalk among researchers working in disparate silos, comparing and contrasting different approaches while pointing to common roots.
https://www.nature.com/articles/s42254-024-00720-5
Statistical physics relates the properties of macroscale systems to the distributions of their microscale agents. Its central tool has been the maximization of entropy, an equilibrium variational principle. Recent work has sought extensions to non-equilibria: across processes of change both fast and slow, in the Jarzynski equality and fluctuation relations and other tools of stochastic thermodynamics, using large deviation theory or others. When recognized as an inference principle, entropy maximization can be generalized for non-equilibria and applied to path entropies rather than state entropies, becoming the principle of maximum caliber, which we emphasize in this Review. Our primary goal is to enhance crosstalk among researchers working in disparate silos, comparing and contrasting different approaches while pointing to common roots.
Nature
Entropy, irreversibility and inference at the foundations of statistical physics
Nature Reviews Physics - Entropy is central to statistical physics, but it has multiple meanings. This Review clarifies the strengths of each use and the connections between them, seeking to...
NETHIKE, 22 - 27 September, 2024, Villa Garbaldcall_made, Castasegna, Switzerland
This annual summer school covers basic and advanced topics in the analysis, modeling, and visualization of networks in the context of sociological theory and empirical research.
https://sn.ethz.ch/nethike.html
This annual summer school covers basic and advanced topics in the analysis, modeling, and visualization of networks in the context of sociological theory and empirical research.
https://sn.ethz.ch/nethike.html
sn.ethz.ch
NETHIKE
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Parsing signal and noise in the brain
Large-scale neuronal recordings reveal that brainwide activity is linked to behavior
https://www.science.org/doi/10.1126/science.aax1512
Large-scale neuronal recordings reveal that brainwide activity is linked to behavior
https://www.science.org/doi/10.1126/science.aax1512
Science
Parsing signal and noise in the brain
Large-scale neuronal recordings reveal that brainwide activity is linked to behavior
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#PhD Position - BeyondTheEdge Project - Graph vs Hypergraph Metrics
https://euraxess.ec.europa.eu/jobs/210198
https://euraxess.ec.europa.eu/jobs/210198
EURAXESS
PhD Position - BeyondTheEdge Project - Graph vs Hypergraph Metrics | EURAXESS
A 3-year PhD position is available within the framework of the Marie Skłodowska-Curie Doctoral Network (MSCA-DN) “BeyondTheEdge”, funded by the European Union’s Horizon Europe Programme.
FOUNDATIONAL PAPERS IN COMPLEXITY SCIENCE
Foundational Papers in Complexity Science maps the development of complex-systems science through eighty-eight revolutionary works originally published between 1922 and 2000. Curated by SFI President David C. Krakauer, each seminal paper is introduced and placed into its historical context, with enduring insights discussed by leading contemporary complexity scientists.
These four volumes are a product of collective intelligence. More than a compilation, Foundational Papers represents large-scale collaboration within the SFI community—brilliant thinkers who have contextualized the work that shaped their own research, resulting in a sparkling demonstration of how complexity shatters the usual scientific divisions and a look back at the path we’ve followed in order to gain a clearer view of what lies ahead.
https://www.foundationalpapersincomplexityscience.org/
Foundational Papers in Complexity Science maps the development of complex-systems science through eighty-eight revolutionary works originally published between 1922 and 2000. Curated by SFI President David C. Krakauer, each seminal paper is introduced and placed into its historical context, with enduring insights discussed by leading contemporary complexity scientists.
These four volumes are a product of collective intelligence. More than a compilation, Foundational Papers represents large-scale collaboration within the SFI community—brilliant thinkers who have contextualized the work that shaped their own research, resulting in a sparkling demonstration of how complexity shatters the usual scientific divisions and a look back at the path we’ve followed in order to gain a clearer view of what lies ahead.
https://www.foundationalpapersincomplexityscience.org/
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Apply by June 5th to IceLab Camp, an international, #multidisciplinary research course to initiate PhD students and postdocs in the process of preparing interdisciplinary research proposals and launching new collaborations. http://icelab.se/camp
Forwarded from Sitpor.org سیتپـــــور
YouTube
Crafting Questions & Linking Thoughts: Jari Saramäki on Network Science Research
Join us for an insightful discussion with Jari Saramäki, a renowned expert in network science, where he shares his personal journey into the field. Jari talks about his motivation and research methods as well as how he selects interesting scientific questions.…
Crafting Questions & Linking Thoughts:
Jari Saramäki on Network Science Research
🔗 youtu.be/HwdZS6Fy8X8
Join us for an insightful discussion with Jari Saramäki, a renowned expert in network science, where he shares his personal journey into the field. Jari talks about his motivation and research methods as well as how he selects interesting scientific questions. He emphasizes the importance of collaborative partnerships in driving his projects forward and discusses the essence of good scientific inquiry and how he navigates the process from initial curiosity to deep investigation. Additionally, Jari reflects on the importance of working with both seasoned and emerging researchers to cultivate a dynamic academic environment.
Throughout the conversation, Jari provides thoughtful advice for new scientists on how to make their mark in academia and discusses how his approach to research has matured over his career. This interview not only delves into the mechanics of network science but also offers a deeper look at the personal and professional philosophies that guide successful research.
If you are a new researcher or just curious about how science progresses behind the scenes, join us and gain valuable insights into the world of scientific research through the experiences of one of its most passionate practitioners.
🎧 Audio File
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@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
Jari Saramäki on Network Science Research
🔗 youtu.be/HwdZS6Fy8X8
Join us for an insightful discussion with Jari Saramäki, a renowned expert in network science, where he shares his personal journey into the field. Jari talks about his motivation and research methods as well as how he selects interesting scientific questions. He emphasizes the importance of collaborative partnerships in driving his projects forward and discusses the essence of good scientific inquiry and how he navigates the process from initial curiosity to deep investigation. Additionally, Jari reflects on the importance of working with both seasoned and emerging researchers to cultivate a dynamic academic environment.
Throughout the conversation, Jari provides thoughtful advice for new scientists on how to make their mark in academia and discusses how his approach to research has matured over his career. This interview not only delves into the mechanics of network science but also offers a deeper look at the personal and professional philosophies that guide successful research.
If you are a new researcher or just curious about how science progresses behind the scenes, join us and gain valuable insights into the world of scientific research through the experiences of one of its most passionate practitioners.
🎧 Audio File
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
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Today, Abbas Rizi will talk about competing effects on herd immunity, with a discussion on science communication in network science!
Details & Zoom link at http://netplace.site
Details & Zoom link at http://netplace.site
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#PhD and #postdoc positions at Complexity Science Hub Vienna
With our new ERC-funded project starting in September at the Complexity Science Hub Vienna, we are now advertising for two PhD students and two postdocs to work with us on collective adaptation and belief dynamics. If appropriate, I would be grateful if you could spread the word to anyone who could be suitable. Deadline is June 15, and positions can start as early as September 2024.
Vienna is a great place to live and the Complexity Science Hub is a vibrant and growing center for interdisciplinary complexity research. It is at the intersection of eight universities and has a large international network: https://csh.ac.at/
More information and applications at:
3-YEAR PhD POSITION - Collective Adaptation: https://csh.jobs.personio.com/job/1562841
3-YEAR PhD POSITION - Belief Networks: https://csh.jobs.personio.com/job/1562895
2-YEAR POSTDOC POSITION - Collective Adaptation: https://csh.jobs.personio.com/job/1562875
2-YEAR POSTDOC POSITION - Belief Networks: https://csh.jobs.personio.com/job/1562929
With our new ERC-funded project starting in September at the Complexity Science Hub Vienna, we are now advertising for two PhD students and two postdocs to work with us on collective adaptation and belief dynamics. If appropriate, I would be grateful if you could spread the word to anyone who could be suitable. Deadline is June 15, and positions can start as early as September 2024.
Vienna is a great place to live and the Complexity Science Hub is a vibrant and growing center for interdisciplinary complexity research. It is at the intersection of eight universities and has a large international network: https://csh.ac.at/
More information and applications at:
3-YEAR PhD POSITION - Collective Adaptation: https://csh.jobs.personio.com/job/1562841
3-YEAR PhD POSITION - Belief Networks: https://csh.jobs.personio.com/job/1562895
2-YEAR POSTDOC POSITION - Collective Adaptation: https://csh.jobs.personio.com/job/1562875
2-YEAR POSTDOC POSITION - Belief Networks: https://csh.jobs.personio.com/job/1562929
Complexity Science Hub
We Are Europe's Research Center Translating Data into Solutions for a Better World
How do our social patterns shape virus competition? Pourya Toranj will reveal surprising findings in our next #NetworkInequality lecture.
May 23, 11am CEST
Register to all talks: bit.ly/LSNI-2024
Info: networkinequality.com/lecture-series
May 23, 11am CEST
Register to all talks: bit.ly/LSNI-2024
Info: networkinequality.com/lecture-series
I'm developing a new conversational AI platform where you can interact with multiple large language models (like GPT, Claude, etc.) in a single conversation under one subscription. I’m Hamed, a data scientist based in Berlin, Germany, with a passion for innovation, driven to streamline how we interact with AI technologies. I'd love your input to help make this product outstanding.
Thank you!
https://drsfvq3z2zm.typeform.com/to/zp1Dswn8
Thank you!
https://drsfvq3z2zm.typeform.com/to/zp1Dswn8
Typeform
One AI
Turn data collection into an experience with Typeform. Create beautiful online forms, surveys, quizzes, and so much more. Try it for FREE.
lectures about asymptotics and perturbation methods
https://www.youtube.com/playlist?list=PL5EH0ZJ7V0jV7kMYvPcZ7F9oaf_YAlfbI
https://www.youtube.com/playlist?list=PL5EH0ZJ7V0jV7kMYvPcZ7F9oaf_YAlfbI
YouTube
Asymptotics and perturbation methods - Prof. Steven Strogatz
This is the playlist for an applied math course on asymptotics and perturbation methods, offered by Prof. Steven Strogatz at Cornell University in Spring 202...
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Art_of_Discovery_Oliver2.pdf
9.4 MB
The Incomplete Guide to the Art of Discovery
Cornell emeritus professor Jack Oliver draws on his nearly 50 years as a scientist to explore the strategies, tactics, and personal traits and attitudes necessary for fruitful scientific discovery.
Cornell emeritus professor Jack Oliver draws on his nearly 50 years as a scientist to explore the strategies, tactics, and personal traits and attitudes necessary for fruitful scientific discovery.
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