Network Modeling and Analysis of Spatio-Temporal Correlations in Multivariate Time Series

https://vimeo.com/1170388794

3rd European Summer Program in Infectious Disease Analysis and Modelling (ESPIDAM)

Time: June 22-26, 2026
Location: Stockholm University, Sweden
Registration: Is now open. Early bird registration to March 31. Registration closes May 31.
Suitable participants: PhD students, PostDocs, Public Health scientists and others interested
Structure: The summer program consists of 8 course modules, 4 the first half week and 4 the second half week. Participants can register to one or two modules.
More information: www.su.se/math/espidam

Nicole’s guide to writing research statements

https://quantumfrontiers.com/2025/08/10/nicoles-guide-to-writing-research-statements/

#PhD student in Mathematical Statistics

https://su.varbi.com/en/what:job/jobID:911059/type:job/where:4/apply:1

The Department of Mathematics of Stockholm University is hiring a PhD student to work on stochastic processes and/or statistical methods in mathematical biology

The Master's programme Complex Systems and Policy (CS&P) offers a unique approach to future-focused policymaking.

https://www.uva.nl/en/programmes/masters/complex-systems-and-policy/complex-systems-and-policy.html?cb

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

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

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

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/

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/

CS2Nordics - The Nordic Conference on Computational Social Science

September 21-22, 2026, Copenhagen, Denmark

https://nosocss.org/conference.html

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

#PhD position in Responsible AI/Computational Social Science at Politecnico di Milano

📍 Milan 🇮🇹
🔗 bit.ly/4dUbC4i

Network Science Summer School
July 13th — 17th, 2026
Utrecht University 🇳🇱

https://net-science.github.io/

Physics-based models outperform AI weather forecasts of record-breaking extremes

https://www.science.org/doi/10.1126/sciadv.aec1433

The evolution of gene regulatory networks

https://www.nature.com/articles/s43588-026-00981-3

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

#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

On LLMs and AI:

https://sunelehmann.com/blog/shoggoths-and-dragons/

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.

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