Complex Systems Studies
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What's up in Complexity Science?!
Check out here:

@ComplexSys

#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
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Controlling complex networks with complex nodes

Real-world networks often consist of millions of heterogenous elements that interact at multiple timescales and length scales. The fields of statistical physics and control theory both contribute different perspectives for understanding, modelling and controlling these systems. To address real-world systems, more interaction between these fields and integration of new paradigms such as heterogeneity and multiple levels of representation will be necessary. It may be possible to expand models from statistical physics to integrate the notion of feedback (both positive and negative) and to extend control theory formulations to more mesoscopic analysis over averages of collections of degrees of freedom. There is also the need to integrate theoretical models, machine learning and data-driven control methods. We review recent progress and identify opportunities to help advance understanding and control of real-world systems from oscillator networks and social networks to biological and technological networks.

https://www.nature.com/articles/s42254-023-00566-3
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Does GPT-4 Really Understand What We’re Saying?
One question for David Krakauer, an evolutionary theorist and president of the Santa Fe Institute for complexity science.

https://nautil.us/does-gpt-4-really-understand-what-were-saying-291034/
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#PhD position on data-driven personalized nutrition.

Come work with us on the intersection of digital cohorts, nutrition, microbiome, and behavior.

Apply to the EPFL doctoral school of computational biology, EDCB, by April 15.
https://t.co/JodCFfnmmG
This is a #PhD position at #tu_wien & #CSHVienna to work with Fariba Karimi on a topic of your preference aligned to our core interests
#ComplexSystems4Good #NetworkScience #Inequalities #AlgorithmicBias


jobs.tuwien.ac.at/Job/206059
The Department of Statistics has 1–2 open doctoral studentships in Statistics beginning 1 September 2023. The Department is one of the largest statistical departments in Sweden. We conduct research and education in Bayesian Statistics, Computational Statistics, Design of Experiments, Linear Models, Official statistics, Sampling Theory, Survival Analysis and Time Series Analysis.

As a #PhD student you get full employment benefits and are free to decide your own project - maybe something to do with network statistics?
Stockholms universitet | PhD student i Statistics, Closing date: 25 April 2023.

https://t.co/JD17RG4nfB
Summer School:
Statistical Physics of Complex Systems 🤓

Barcelona, 2 weeks
July 17-28 (2023!)

Prev. editons:
https://www.gefenol.es/escuelas.php?lang=esp
A #PhD position "ML for the Physical Sciences" is available in our group. Students with a Master's degree in CS, physics, or engineering please apply. We are associated with IMPRS-IS, ELLIS, and a cluster of excellence in the simulation sciences.

https://t.co/y8eyYBHY6d
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Mathematical Methods in Computational Neuroscience Summer Camp

10-28/July
in lovely Norway (amazing/middle of nowhere). No tuition and room/board/food(good) is covered. Great experience/speakers/students/activities!

https://compneuronrsn.org
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The program of the "Lectures on Computational Linguistics 2023" is out! The event will be held in Pisa, 29th-31st May 2023.
Participation is free but subject to registration:
https://www.ai-lc.it/lectures/lectures-2023-it/
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Registration open for the "School of the Italian Society of Statistical Physics" (second edition).
When? August 28 - September 7, 2023
Where? IMT School for Advanced Studies, Lucca,Italy

https://sifsschool2023.imtlucca.it/
#PhD Studentship in Social Statistics University of Manchester &
Max Planck Institute for Demographic Research (MPIDR)
Deadline: 14th of May 2023

https://t.co/UwTf4Z7X05
want to delve into Computational Biology & #Bioinformatics for your #Master's? Apply for our program #uniGoettingen covering a broad range of topics
uni-goettingen.de/de/657628.html
Marvel Universe looks almost like a real social network

We investigate the structure of the Marvel Universe collaboration network, where two Marvel characters are considered linked if they jointly appear in the same Marvel comic book. We show that this network is clearly not a random network, and that it has most, but not all, characteristics of "real-life" collaboration networks, such as movie actors or scientific collaboration networks. The study of this artificial universe that tries to look like a real one, helps to understand that there are underlying principles that make real-life networks have definite characteristics.

https://ar5iv.labs.arxiv.org/html/cond-mat/0202174
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Applications for summer course 'Analytical Connectionism' (28 Aug-8 Sep) are now open!
https://www.ucl.ac.uk/gatsby/analytical-connectionism-2023

The course will introduce analytical methods for neural-network analysis & connectionist theories of higher-level cognition & psychology.
Biological Physics Comes of Age
Once an awkward confrontation between disciplines, biological physics is having its moment — and showing that life is not just a mess.

By William Bialek

https://aps.org/publications/apsnews/202304/biological.cfm
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#ComplexityPodcast with SFI External Prof Mason Porter about #NetworkScience tools for community detection and how #Topology reveals a hidden order in the flood of #Data:

complexity.simplecast.com/episodes/105
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#netsci2023 is proud to announce a limited number of travel grants for researchers from low and middle-income countries to attend the conference in person.

Head to our website for more details:
https://netsci2023.wixsite.com/netsci2023/calls
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