fa
Feedback
Complex Systems Studies

Complex Systems Studies

رفتن به کانال در Telegram

What's up in Complexity Science?! Check out here: @ComplexSys #complexity #complex_systems #networks #network_science 📨 Contact us: @carimi

نمایش بیشتر
2 419
مشترکین
اطلاعاتی وجود ندارد24 ساعت
+87 روز
+730 روز

در حال بارگیری داده...

جذب مشترکین
ژوئن '26
ژوئن '26
+11
در 1 کانال‌ها
مه '26
+26
در 0 کانال‌ها
Get PRO
آوریل '26
+15
در 0 کانال‌ها
Get PRO
مارس '26
+5
در 0 کانال‌ها
Get PRO
فوریه '26
+20
در 0 کانال‌ها
Get PRO
ژانویه '26
+13
در 0 کانال‌ها
Get PRO
دسامبر '25
+25
در 0 کانال‌ها
Get PRO
نوامبر '25
+134
در 2 کانال‌ها
Get PRO
اکتبر '25
+31
در 2 کانال‌ها
Get PRO
سپتامبر '25
+24
در 1 کانال‌ها
Get PRO
اوت '25
+21
در 0 کانال‌ها
Get PRO
ژوئیه '25
+38
در 1 کانال‌ها
Get PRO
ژوئن '25
+18
در 0 کانال‌ها
Get PRO
مه '25
+28
در 0 کانال‌ها
Get PRO
آوریل '25
+30
در 1 کانال‌ها
Get PRO
مارس '25
+28
در 0 کانال‌ها
Get PRO
فوریه '25
+31
در 0 کانال‌ها
Get PRO
ژانویه '25
+45
در 0 کانال‌ها
Get PRO
دسامبر '24
+38
در 2 کانال‌ها
Get PRO
نوامبر '24
+43
در 1 کانال‌ها
Get PRO
اکتبر '24
+44
در 5 کانال‌ها
Get PRO
سپتامبر '24
+23
در 0 کانال‌ها
Get PRO
اوت '24
+37
در 0 کانال‌ها
Get PRO
ژوئیه '24
+34
در 1 کانال‌ها
Get PRO
ژوئن '24
+17
در 0 کانال‌ها
Get PRO
مه '24
+42
در 2 کانال‌ها
Get PRO
آوریل '24
+22
در 0 کانال‌ها
Get PRO
مارس '24
+18
در 0 کانال‌ها
Get PRO
فوریه '24
+76
در 2 کانال‌ها
Get PRO
ژانویه '24
+152
در 1 کانال‌ها
Get PRO
دسامبر '23
+171
در 2 کانال‌ها
Get PRO
نوامبر '23
+86
در 3 کانال‌ها
Get PRO
اکتبر '23
+66
در 1 کانال‌ها
Get PRO
سپتامبر '23
+27
در 0 کانال‌ها
Get PRO
اوت '23
+41
در 0 کانال‌ها
Get PRO
ژوئیه '23
+25
در 0 کانال‌ها
Get PRO
ژوئن '23
+24
در 0 کانال‌ها
Get PRO
مه '23
+16
در 0 کانال‌ها
Get PRO
آوریل '23
+59
در 0 کانال‌ها
Get PRO
مارس '23
+15
در 0 کانال‌ها
Get PRO
فوریه '23
+72
در 0 کانال‌ها
Get PRO
ژانویه '23
+59
در 0 کانال‌ها
Get PRO
دسامبر '22
+24
در 0 کانال‌ها
Get PRO
نوامبر '22
+50
در 0 کانال‌ها
Get PRO
اکتبر '22
+32
در 0 کانال‌ها
Get PRO
سپتامبر '22
+60
در 0 کانال‌ها
Get PRO
اوت '22
+30
در 0 کانال‌ها
Get PRO
ژوئیه '22
+41
در 0 کانال‌ها
Get PRO
ژوئن '22
+26
در 0 کانال‌ها
Get PRO
مه '22
+36
در 0 کانال‌ها
Get PRO
آوریل '22
+36
در 0 کانال‌ها
Get PRO
مارس '22
+26
در 0 کانال‌ها
Get PRO
فوریه '22
+20
در 0 کانال‌ها
Get PRO
ژانویه '22
+39
در 0 کانال‌ها
Get PRO
دسامبر '21
+29
در 0 کانال‌ها
Get PRO
نوامبر '21
+35
در 0 کانال‌ها
Get PRO
اکتبر '21
+38
در 0 کانال‌ها
Get PRO
سپتامبر '21
+34
در 0 کانال‌ها
Get PRO
اوت '21
+44
در 0 کانال‌ها
Get PRO
ژوئیه '21
+55
در 0 کانال‌ها
Get PRO
ژوئن '21
+56
در 0 کانال‌ها
Get PRO
مه '21
+20
در 0 کانال‌ها
Get PRO
آوریل '21
+51
در 0 کانال‌ها
Get PRO
مارس '21
+33
در 0 کانال‌ها
Get PRO
فوریه '21
+40
در 0 کانال‌ها
Get PRO
ژانویه '21
+43
در 0 کانال‌ها
Get PRO
دسامبر '20
+1 214
در 0 کانال‌ها
تاریخ
رشد مشترکین
اشارات
کانال‌ها
08 ژوئن0
07 ژوئن+1
06 ژوئن+2
05 ژوئن+3
04 ژوئن+1
03 ژوئن+1
02 ژوئن+2
01 ژوئن+1
پست‌های کانال
Too Lazy to Use Claude Code for Research https://youtu.be/8jo91yMtD_E In this special episode of Too Lazy to Read the Paper I talk to YY Ahn about using Claude Code for Research. Normally in Too Lazy to Read the Paper, somebody explains a paper to me, because reading papers is hard and talking to people is fun and natural. And if someone's too lazy to read the paper, they're definitely too lazy to read the manual. So today there's a new format. There's no paper. Instead there's a thing we're all talking about in the shadows – agentic coding, Claude Code. The whole business of handing an AI your research and letting it write and run the code – and my sense is that getting started on this is a big hurdle to a lot of folks. So to help them (and myself, I'm sitting down with all-round genious, renessaince man, deep thinker, conneseur of all things coding and living in the terminal, and honest, decent person, YY Ahn.

2
Some friendships may be rooted in a pre-existing similarity in how people process the world. Neural similarity predicts whether strangers become friends https://www.nature.com/articles/s41562-025-02266-7
1 127
3
#Postdoc Researcher in Personalized Oncology and Clinical Data Science at Center for Surgical Science https://www.regionsjaelland.dk/job-og-uddannelse/jobside?hr=show-job/60686&locale=en_US&sd=1 Qualifications: Hold a PhD in Data Science, Bioinformatics, Medical Informatics, Computer Science, Software Engineering or a related field. Expertise in AI/machine learning and its application to clinical datasets. A collaborative mindset, with the ability to work across domains including clinicians, data scientists, and registry experts. Have good communication skills and contribute to the team spirit of the unit Have a strong personal drive and bring forth initiative and new ideas
454
4
#Postdoc Research Associate in AI for Equitable Disease Modelling | King's College London https://www.kcl.ac.uk/jobs/147007-postdoctoral-research-associate-in-ai-for-equitable-disease-modelling
578
5
We are doing a new kind of project with the aim of transporting knowledge and methods from the humanities into a natural science context. We'll have 5 full 3year #postdoc positions at HIFMB Oldenburg https://hifmb.de/institute/hipp/human-progress
525
6
From today, science is dead. Or maybe not! Some reflections on how AI is changing the very practice of research or any other
From today, science is dead. Or maybe not! Some reflections on how AI is changing the very practice of research or any other creative endeavour. 🔗 Read more here. ---------------------------------------------- @sitpor  |  sitpor.org instagram.com/sitpor_media
535
7
On LLMs and AI: https://sunelehmann.com/blog/shoggoths-and-dragons/
686
8
#PhD in Network Science: Modeling of Animal Networks 🇨🇭 https://jobs.uzh.ch/job-vacancies/phd-in-network-science-modeling-of-animal-networks/43e8665e-db9c-467d-9a34-5117d3b77c0f
914
9
Informal connections outweigh coauthorship ties in academic impact The term “invisible college” refers to communication networks that help scientists exchange information and advance knowledge. These networks create social capital, granting access to resources like new ideas and support. Measuring those intangible exchanges is an empirical challenge. Here we approximate these ties through the analysis of the “thank you” notes appended to journal articles. Our findings show that scholars disconnected from this layer of academic social capital have lower publication impact. We also show that informal ties provide support not captured by coauthorship ties, which reflect a more rigid form of collaboration. Documenting how informal structures of support operate can help leverage collective resources in the pursuit of shared intellectual goals. https://www.pnas.org/doi/10.1073/pnas.2511050123
1 117
10
The evolution of gene regulatory networks https://www.nature.com/articles/s43588-026-00981-3
876
11
Physics-based models outperform AI weather forecasts of record-breaking extremes https://www.science.org/doi/10.1126/sciadv.aec1433
768
12
Network Science Summer School July 13th — 17th, 2026 Utrecht University 🇳🇱 https://net-science.github.io/
0
13
#PhD position in Responsible AI/Computational Social Science at Politecnico di Milano 📍 Milan 🇮🇹 🔗 bit.ly/4dUbC4i
0
14
Interdisciplinary #PhD offer in Marseille, starting Oct. 2026, on "Collective Problem Solving in Guinea Baboons: From Dyadic Interactions to Group Dynamics" https://emploi.cnrs.fr/Offres/Doctorant/UMR7077-NICCLA-001/Default.aspx?lang=EN
0
15
CS2Nordics - The Nordic Conference on Computational Social Science September 21-22, 2026, Copenhagen, Denmark https://nosocss.org/conference.html
0
16
ICTP Hands-On Research in Complex Systems School The School provides early stage researchers with interactive experiences of
ICTP Hands-On Research in Complex Systems School The School provides early stage researchers with interactive experiences of hands-on research involving table-top experiments with computer data acquisition and modeling. Participants will also take part in professional development of improved scientific communication in English. https://indico.ictp.it/event/11156/
0
17
Why Do We Tell Ourselves Scary Stories About AI? | Quanta Magazine https://www.quantamagazine.org/why-do-we-tell-ourselves-scary-stories-about-ai-20260410/
0
18
Theoretical computer science notes from Epsilon Camp for exceptional 11- and 12-year-olds by Scott Aaronson https://www.scottaaronson.com/tcs.pdf Lecture 1: Bits Lecture 2: Gates Lecture 3: Finite Automata Lecture 4: Turing Machines Lecture 5: Big Numbers Lecture 6: Complexity, or Number of Operations Lecture 7: Polynomial vs. Exponential Lecture 8: The P vs. NP Problem Lecture 9: NP-completeness Lecture 10: Foundations of Cryptography Lecture 11: Public-Key Cryptography and Quantum Computing
0
19
Message passing and cyclicity transition Message passing, also known as belief propagation, is a versatile framework for analyzing models defined on graphs. Its most prototypical application is percolation; yet, the interpretation of the message passing formulation of percolation remains elusive. We show that the message passing solutions commonly associated with the probability of belonging to the giant component actually identify reachability from cycles. This interpretation generally applies to bond and site percolation on any directed or undirected networks. Our findings highlight the distinction between transition in cyclicity and the emergence of the giant component. https://arxiv.org/abs/2604.01201
0
20
Dennett's Real Patterns in Science and Nature | Freely available https://direct.mit.edu/books/oa-edited-volume/6112/Dennett-s-Real-Patterns-in-Science-and-Nature
0