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G. Zamora-López

@gzamora-lopez.bsky.social
466 followers 117 following 101 posts

scientist: complex networks. brain connectivity. dynamical systems. @ics-cas.bsky.social – Department of Complex Systems www.zamora-lopez.xyz

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Reposted by G. Zamora-López
Dr Cyril Pernet @cyrilrpernet.bsky.social · 04/10/2026
Better late than never! I finally took the time to read www.cell.com/cell/fulltex.... Super rich paper, super complex - incredible work from Brandon Munn and the team at @macshine.bsky.social lab #UnderstandTheBrain
cell.com
Multiscale organization of neuronal activity unifies scale-dependent theories of brain function
Analysis of cellular recordings from five phylogenetically diverse species uncovers a conserved, multiscale organization of neuronal activity that resolves disparate theories of brain function. This h...
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Rubén Moreno-Bote @morenobote.bsky.social · 04/10/2026
Work with Manolis Mylonas
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arXiv @arxiv.bsky.social · 01/10/2026
arXiv has updated our policy on rate limiting for all submitters. This update was made to fairly distribute moderator time & support the arXiv community of staff, volunteers, readers & authors. Please read our announcement to learn more: blog.arxiv.org/2026/10/01/updated-r…
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Czech Academy of Sciences @czechacademy.bsky.social · 29/09/2026
The Academy Council of the Czech Academy of Sciences strongly condemns the barbaric attack by the Russian Federation on the building of the National Academy of Sciences of Ukraine in Kyiv and joins the statement issued by All European Academies. allea.org/allea-condem...
allea.org
ALLEA Condemns Russian Drone Strike on the National Academy of Sciences of Ukraine
ALLEA, All European Academies, expresses its profound shock and unconditional condemnation of the Russian drone strike on the National Academy of Sciences of Ukraine (NASU) in central Kyiv on 28 Septe
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Alex Hyafil @alexhyafil.bsky.social · 23/09/2026
📣2 postdoc and 1 phD positions on computational mechanisms of human perception in Barcelona. One postdoc position (2-y) is joint w Chris Summerfield ( @summerfieldlab.bsky.social) on visual scene perception, mixing modelling w ANN and behavioral experiments.
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Kayson Fakhar @kayson.bsky.social · 02/09/2026
🚨 8 months after, this paper found its home at Science Advances. We came up with a generative brain network model based on game theory and found that the human brain is suboptimal both in terms of wiring cost and communication efficiency. Here's why: www.science.org/doi/10.1126/...
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Recurrence Plots @recurrence-plot.tk · 19/08/2026
"A synergetic perspective of analysing phase space dynamics: the crucial role of recurrence" – links Haken's synergetics with #recurrence_plot analysis, revealing order-chaos transitions in phase-space dynamics and ties to machine learning for predictive modelling. link.springer.com/article/10.1...
link.springer.com
A synergetic perspective of analysing phase space dynamics: the crucial role of recurrence - The European Physical Journal Special Topics
Hermann Haken’s synergetics provides a fundamental theoretical framework for understanding the emergence of macroscopic order from microscopic interactions in complex dynamical systems. In this paper,...
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Fastmail @fastmail.com · 03/08/2026
Fastmail data can now live primarily in the EU, on servers our own engineers set up in Amsterdam. Current customers can switch in settings; new accounts pick a region at signup. 

 Our CEO Bron's post walks through exactly what lives where.
www.fastmail.com/blog/fastmai... #Fastmail #Email
fastmail.com
Fastmail offers EU data region
Choose if you want to make the European Union the primary home for your Fastmail data, on our own secure servers in Amsterdam.
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Evolutionary Social Psychology @socialpsych.bsky.social · 27/07/2026
Empirical evidence suggests human cooperation often departs from classic reciprocity models. Long-term relationships, partner choice, and relationship maintenance may be more central than tit-for-tat-like exchange. Rethinking Reciprocity(Mathew & Boyd, 2026): www.sciencedirect.com/science/arti...
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G. Zamora-López @gzamora-lopez.bsky.social · 26/06/2026
📣 pyGAlib 2.1 is out. Main novelties are … - Generation of networks with random weights. ✅ - Surrogates for weighted networks. ✅ - Tutorial Notebook to illustrate different use-cases. python3 -m pip install galib github.com/gorkazl/pyGA...
github.com
GitHub - gorkazl/pyGAlib: Graph Analisys library based on Python / NumPy
Graph Analisys library based on Python / NumPy. Contribute to gorkazl/pyGAlib development by creating an account on GitHub.
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Kayson Fakhar @kayson.bsky.social · 14/04/2026
Last reminder: This is happening this Thursday.
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Kayson Fakhar @kayson.bsky.social · 31/03/2026
G'day connection makers. On **April 16th**, we're hosting Georg Northoff telling us about intrinsic timescales. If it sounds interesting, here's the link to register: cam-ac-uk.zoom.us/meeting/regi...
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Rick Betzel @richardfbetzel.bsky.social · 27/02/2026
🚨 New paper from @apodschun.bsky.social (with Sebastian Markett, Urs Braun, and myself) Exploring the Role of the Rich Club in Network Control of Neurocognitive States onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com
Exploring the Role of the Rich Club in Network Control of Neurocognitive States
Using a network control theoretical framework, we found that the brain's rich club does not optimally control dynamics of the brain. Instead, size-matched sets of random peripheral regions had a sign...
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G. Zamora-López @gzamora-lopez.bsky.social · 24/02/2026
🤔 What happened to some of the building blocks of science: methods, models and theories? Almost every paper these days is a "new framework." I find this a little lame and sad. Remove the word "framework" from the papers and, honestly, nothing changes. The message and the content is still the same.
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Alessandro Ingrosso @aingrosso.bsky.social · 20/02/2026
The "publish or perish" culture must perish. Scientists need time to think. We just published our Slow Science Manifesto, where we argue that huge changes are needed in the way we fund, publish, and evaluate science. Read more and sign here: www.slow-science.com
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Kayson Fakhar @kayson.bsky.social · 17/02/2026
This week's guest of the Making Connections seminar series is Casey Paquola, talking about multiscale neurodevelopment. As usual, it'll be on Thursday at 15:00 UTC, and here's the link to register: cam-ac-uk.zoom.us/meeting/regi...
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Rike-Benjamin Schuppner @debilski.bsky.social · 08/02/2026
You are in science and write Python every day? But you feel you want to understand the Python part a little bit better? Then join us in Prague, Czechia for this year’s summer school ‘Advanced Scientific Programming in Python’. 🧑‍🔬🧑‍💻🧑‍🏫 30st August–06th September 2026. #aspp2026 Apply now: aspp.school
18th Summer School Advanced Scientific Programming
in Python.
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Bratislav Misic @misicbata.bsky.social · 13/02/2026
Inter-individual variability of neurotransmitter receptor and transporter density in the human brain | doi.org/10.1007/s004... How do neuroreceptor distributions vary across people?
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Fernando Garcia-Moreno @phylobrain.bsky.social · 12/02/2026
𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗰𝗼𝗿𝘁𝗶𝗰𝗮𝗹 𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 sounds straightforward: compare species, identify differences, explain them. In reality, it 𝗶𝘀 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝘀𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗶𝗻 𝗻𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝗰𝗲. 𝘞𝘩𝘺? #CorticalEvolution2026
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Ricard Solé @ricardsole.bsky.social · 12/02/2026
What if we had a Rosetta Stone for brain oscillations—one framework to translate between models and scales? In this paper lead by F Castaldo and @ruffini.bsky.social they build a simple, systematic ladder of neural mass models showing how diverse formalisms connect arxiv.org/pdf/2512.10982
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Fatemeh_Hadaeghi @fatemehhadaeghi.bsky.social · 11/02/2026
🎉 🎉 Excited to share that our paper has just been published in Chaos. Here, we introduce Network Reciprocity Control (NRC) #algorithms that make it possible to systematically tune #reciprocity and directional #asymmetry in #networks while preserving density or total weight.
pubs.aip.org
Controlling reciprocity in binary and weighted networks: A novel density-conserving approach
We introduce efficient Network Reciprocity Control (NRC) algorithms for steering the degree of asymmetry and reciprocity in binary and weighted networks while p
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Reposted by G. Zamora-López
Vincent Traag @vtraag.bsky.social · 27/01/2026
📣 Our introduction to structural causal models in science studies is now published: doi.org/10.1162/QSS.... @tklebel.bsky.social and I tried to make our introduction as accessible as possible. We illustrate the theory by three case studies based on a simulated model of Open Science. 🧵(1/6)
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Jorge Mejias @jorgefmejias.bsky.social · 03/02/2026
For Spanish researchers interested in postdoc positions: my lab at Amsterdam is looking for candidates to apply for a Ramon Areces postdoctoral fellowship, to work for 2 years on compneuro and digital brains. Deadline Feb 23. Please spread the word! More info: www.fundacionareces.es/fundacionare...
fundacionareces.es
Convocatorias - Fundación Ramón Areces
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Gaute Einevoll @gauteeinevoll.bsky.social · 31/01/2026
Episode #37 in #TheoreticalNeurosciencePodcast: On reproducibility of modeling and 10 years with the Potjans-Diesmann network model - with Hans Ekkehard Plesser theoreticalneuroscience.no/thn37 How can replication crises be avoided in computational neuroscience?
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Alessandro Torcini @torcini.bsky.social · 14/07/2025
At #STATPHYS29 in Florence Yoshiki Kuramoto wiil be soon awarded the Boltzmann medal, next year Simona Olmi et al will organise this worshop on 50 years of the Kuramoto Model in Germany -- join
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G. Zamora-López @gzamora-lopez.bsky.social · 28/01/2026
I dissagree because such statements hiddenly imply that modularity = phrenology. And this is not true. The concept of brain modularity (at least the modern one) arises from finally acknowledging the brain as a complex system, where modular and distributed processing just co-exist. Best.
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Joao Barbosa @jbarbosa.org · 27/01/2026
Postdoc position in Paris: come help develop new generation human brain computer interfaces ⚡🧠💻 Interested? Contact me if you have experience with machine learning (e.g. simulation-based inference, RL, generative/diffusion models) or dynamical systems. See below for + details and retweet 🙏
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Jukka Suomela @jukkasuomela.fi · 25/01/2026
Aalto University is looking for an Assistant Professor in Computer Science, application deadline February 2, 2026! www.aalto.fi/en/open-posi...
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Alex Fornito @alexfornito.bsky.social · 26/01/2026
Our latest preprint on how regional cellular, molecular, and other forms of heterogeneity shape macroscopic wave dynamics is now out: www.biorxiv.org/content/10.6... For a full thread, see: x.com/_victorbarne...
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Ev Fedorenko @evfedorenko.bsky.social · 22/01/2026
Could not be more excited about Colton's @coltoncasto.bsky.social work! A deep dive into the linguistic cerebellum, and a discovery of an area remarkably functionally similar to the core left-hemisphere language areas, including in its selectivity for language. Go Colton and team!
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Marc L Seal @parkvillegeek.bsky.social · 21/01/2026
Brain/MINDS Marmoset Brain Atlas 2.0: Population Cortical Parcellation With Multi-Modal Templates | Scientific Data www.nature.com/articles/s41...
nature.com
Brain/MINDS Marmoset Brain Atlas 2.0: Population Cortical Parcellation With Multi-Modal Templates - Scientific Data
Scientific Data - Brain/MINDS Marmoset Brain Atlas 2.0: Population Cortical Parcellation With Multi-Modal Templates
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Kayson Fakhar @kayson.bsky.social · 20/01/2026
This Thursday at 3PM (UTC), we'll host @barabasi.bsky.social at the Making Connections seminar series. I'm sure it'll be a very stimulating and inspiring talk, so if you'd like to join, register via the link below: sites.google.com/view/makingc...
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Fernando Garcia-Moreno @phylobrain.bsky.social · 19/01/2026
🧠 Cortical Evolution 2026 📍 Bilbao, Spain | 🗓 June 15–17, 2026 Join us for an international meeting on the evolution, development & organization of the cerebral cortex. More information coming soon 👀 🔗 www.ventricular.org/corticalevolution26 #CorEvo26
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Rubén Moreno-Bote @morenobote.bsky.social · 16/01/2026
New preprint. A review on Intrinsic Motivation Theories arxiv.org/abs/2601.10276 In collaboration with an amazing team
arxiv.org
How Intrinsic Motivation Underlies Embodied Open-Ended Behavior
Although most theories posit that natural behavior can be explained as maximizing some form of extrinsic reward, often called utility, some behaviors appear to be reward independent. For instance, spo...
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Norbert Marwan @pucicu.de · 08/01/2026
New study out: We studied unstable dimension variability in kicked double rotor; recurrence properties shown robust for statistical analysis despite trajectory unpredictability #recurrence_plot Joint work with our friends from UFPR in Curitiba doi.org/10.1209/0295...
doi.org
Recurrence-based characterization of model shadowability in the presence of unstable dimension variability
Recurrence-based characterization of model shadowability in the presence of unstable dimension variability, Fávaro, Vitor H. A., Marwan, Norbert, Kurths, Jürgen, Grebogi, Celso, Viana, Ricardo L.
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G. Zamora-López @gzamora-lopez.bsky.social · 08/01/2026
I can't foresee what will be the outcome of this but, that the EU is at least gathering feedback from society and the community before taking decisions, seems a promising approach. I can only hope there will be another participative process like this, on (open access) scientific publication models.
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Daniele Marinazzo @danielemarinazzo.bsky.social · 07/01/2026
A hitchhiker’s guide to information theoretical measures in psychology by @nielsvs.bsky.social with me and Yves Rosseel authors.elsevier.com/c/1mOwr53na-... osf.io/preprints/ps...
A hitchhiker’s guide to information theoretical measures in psychology

Niels van Santen, Yves Rosseel, Daniele Marinazzo


https://doi.org/10.1016/j.jmp.2025.102969

Highlights
• Information theory and psychology have a rich history
• Information theoretical measures can be disconnected from information theory
• These measures complement variance-based measures of variability and association
• They are more general with respect to interpretation and possible data types
• There are many extensions towards the investigation of higher-order interactions.

Abstract
In psychology, as in other sciences, information theory can be used as a tool to complement more standard regression-based methods of data analysis. It is important to see the potential of information theoretical measures as statistical tools without implying a connection to their origins in communication theory and engineering. The use of these measures may provide us with additional insights due to their sensitivity to non-linear relationships, their flexibility to the mixing of data types, and their more straightforward generalization towards investigating higher-order interactions. We briefly reintroduce information theory and compare several measures such as mutual information and co-information with correlation and regression-based methods for the investigation of variable dependence.
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Rubén Moreno-Bote @morenobote.bsky.social · 03/12/2025
Postdoc & PhD positions How intrinsic motivation underlies intelligent, open-ended and embodied behavior in natural and artificial agents Apply if interested sites.google.com/view/morenob...
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G. Zamora-López @gzamora-lopez.bsky.social · 02/12/2025
📜 "Advancing the science of consciousness …" Very happy to see this one out. Philosophers, clinicians, caregivers, experimental scientists, data analysts and modellers cross-talking to build some practical consensus. One of the most enriching projects I have participated: doi.org/10.1016/j.ne...
doi.org
Redirecting
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Chris Krupenye @chriskrupenye.bsky.social · 02/12/2025
🚨Job Alert plz RT! Johns Hopkins Psych & Brain Sciences is looking for a new colleague using behavioral or computational approaches to study cognition! We are excited about many areas of (esp higher) cognition in human adults, children, or nonhuman animals Open-rank apply.interfolio.com/178146
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Alex Fornito @alexfornito.bsky.social · 28/11/2025
🔥🔥The Program for the 2026 Noosa Brain Workshop is now Available!!! 🔥🔥 We have an incredible line up of confirmed speakers! Commuter registrations are still available, but places are limited. Check the website for details: www.monash.edu/turner-insti...
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Vinko Zlatic @vinkozlatic.bsky.social · 17/11/2025
🚨 Hiring! The second Postdoc position @RuđerBošković Institute, Zagreb is open euraxess.ec.europa.eu/jobs/387807 our project on complex networks, tensor & neural networks, & ML. Python, C++, MATLAB skills are a plus. DM or email vinko.zlatic@gmail.com to express interest! 📷📷🔬🌐
euraxess.ec.europa.eu
Contest point 9 – Postdoctoral Fellow
Condensed Matter and Statistical Physics Group, Division of Theoretical Physics at the Rudjer Boskovic Institute is looking for a postdoctoral fellow for work on the project "Stochastic processes on n...
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Mark A. Hanson @hansonmark.bsky.social · 11/11/2025
We wrote the Strain on scientific publishing to highlight the problems of time & trust. With a fantastic group of co-authors, we present The Drain of Scientific Publishing: a 🧵 1/n Drain: arxiv.org/abs/2511.04820 Strain: direct.mit.edu/qss/article/... Oligopoly: direct.mit.edu/qss/article/...
A table showing profit margins of major publishers. A snippet of text related to this table is below.

1. The four-fold drain
1.1 Money
Currently, academic publishing is dominated by profit-oriented, multinational companies for
whom scientific knowledge is a commodity to be sold back to the academic community who
created it. The dominant four are Elsevier, Springer Nature, Wiley and Taylor & Francis,
which collectively generated over US$7.1 billion in revenue from journal publishing in 2024
alone, and over US$12 billion in profits between 2019 and 2024 (Table 1A). Their profit
margins have always been over 30% in the last five years, and for the largest publisher
(Elsevier) always over 37%.
Against many comparators, across many sectors, scientific publishing is one of the most
consistently profitable industries (Table S1). These financial arrangements make a substantial
difference to science budgets. In 2024, 46% of Elsevier revenues and 53% of Taylor &
Francis revenues were generated in North America, meaning that North American
researchers were charged over US$2.27 billion by just two for-profit publishers. The
Canadian research councils and the US National Science Foundation were allocated US$9.3
billion in that year.A figure detailing the drain on researcher time.

1. The four-fold drain

1.2 Time
The number of papers published each year is growing faster than the scientific workforce,
with the number of papers per researcher almost doubling between 1996 and 2022 (Figure
1A). This reflects the fact that publishers’ commercial desire to publish (sell) more material
has aligned well with the competitive prestige culture in which publications help secure jobs,
grants, promotions, and awards. To the extent that this growth is driven by a pressure for
profit, rather than scholarly imperatives, it distorts the way researchers spend their time.
The publishing system depends on unpaid reviewer labour, estimated to be over 130 million
unpaid hours annually in 2020 alone (9). Researchers have complained about the demands of
peer-review for decades, but the scale of the problem is now worse, with editors reporting
widespread difficulties recruiting reviewers. The growth in publications involves not only the
authors’ time, but that of academic editors and reviewers who are dealing with so many
review demands.
Even more seriously, the imperative to produce ever more articles reshapes the nature of
scientific inquiry. Evidence across multiple fields shows that more papers result in
‘ossification’, not new ideas (10). It may seem paradoxical that more papers can slow
progress until one considers how it affects researchers’ time. While rewards remain tied to
volume, prestige, and impact of publications, researchers will be nudged away from riskier,
local, interdisciplinary, and long-term work. The result is a treadmill of constant activity with
limited progress whereas core scholarly practices – such as reading, reflecting and engaging
with others’ contributions – is de-prioritized. What looks like productivity often masks
intellectual exhaustion built on a demoralizing, narrowing scientific vision.A table of profit margins across industries. The section of text related to this table is below:

1. The four-fold drain
1.1 Money
Currently, academic publishing is dominated by profit-oriented, multinational companies for
whom scientific knowledge is a commodity to be sold back to the academic community who
created it. The dominant four are Elsevier, Springer Nature, Wiley and Taylor & Francis,
which collectively generated over US$7.1 billion in revenue from journal publishing in 2024
alone, and over US$12 billion in profits between 2019 and 2024 (Table 1A). Their profit
margins have always been over 30% in the last five years, and for the largest publisher
(Elsevier) always over 37%.
Against many comparators, across many sectors, scientific publishing is one of the most
consistently profitable industries (Table S1). These financial arrangements make a substantial
difference to science budgets. In 2024, 46% of Elsevier revenues and 53% of Taylor &
Francis revenues were generated in North America, meaning that North American
researchers were charged over US$2.27 billion by just two for-profit publishers. The
Canadian research councils and the US National Science Foundation were allocated US$9.3
billion in that year.The costs of inaction are plain: wasted public funds, lost researcher time, compromised
scientific integrity and eroded public trust. Today, the system rewards commercial publishers
first, and science second. Without bold action from the funders we risk continuing to pour
resources into a system that prioritizes profit over the advancement of scientific knowledge.
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G. Zamora-López @gzamora-lopez.bsky.social · 10/11/2025
📣 pyGAlib 2.0 and PathLims 2.0 are out. So far, a much needed cleanup and updates. - Dropped support for Python 2 😪 - New Python Packaging rules compliant ✅ - Compatibility with recent changes to NumPy ✅ Paving the way for upgrades, more functionalities and new packages joining the family soon.
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YY Ahn @yyahn.bsky.social · 31/10/2025
Work with us at UVA School of Data Science! @uvadatascience.bsky.social will continue to hire multiple faculty members across many areas of data science! Let me know if you're curious about our school. :) datascience.virginia.edu/pages/join-o...
datascience.virginia.edu
Join Our Team — School of Data Science
We are hiring faculty and staff to build a forward-thinking community with a diversity of perspectives, backgrounds, and ideas centered around data science.
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Claes de Vreese @claesdevreese.bsky.social · 19/10/2025
Work!! 🚨 We are looking for a #postdoc in our AI, media and Democracy Lab @aimediademlab.bsky.social Dynamic position, great team, nice colleagues 💥 Profile: communication/ poli sci/ computational social sci 🗓️ DL November 1 Spread the word 📣 werkenbij.uva.nl/en/vacancies...
werkenbij.uva.nl
Vacancy — Postdoctoral researcher Communication Science at AI, Media & Democracy Lab
Do you want to be part of the AI, Media & Democracy Lab? We are looking for a postdoctoral researcher with a profile in communication science.
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Johannes Gierschner @gierschner.bsky.social · 19/10/2025
👉Also Sorbonne bsky.app/profile/sorb... pulled out of 'THE' University Ranking 👇 Important step in times of massive, systematic gaming by Universities, being a main incentive for Hyperprolific Publishing, Citation Cartels, Paper Mills & Junk Science! #researchintegrity, #Chemsky, #CompChemSky
sciencebusiness.net
Why Sorbonne pulled out of university ranking
France’s Sorbonne University plans to leave the Times Higher Education (THE) Rankings, adding its name to a growing number of universities rejecting lists that play one institution off against another...
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Enrico @enricocaprioglio.bsky.social · 18/09/2025
🚨 How do collective behaviours (high-order interdependencies) *emerge*❓ Can systems with low-order interactions do it? What do these minimal synergistic systems look like? In arxiv.org/abs/2505.246... we show when and how synergies emerge when no high-order mechanisms are involved. Short 🧵: 1/N
arxiv.org
Synergistic Motifs in Gaussian Systems
High-order interdependencies are central features of complex systems, yet a mechanistic explanation for their emergence remains elusive. Currently, it is unknown under what conditions high-order inter...
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𝙲𝚘𝚖𝚙𝚕𝚎𝙽𝚎𝚝 𝟸𝟶𝟸𝟽 @complenet.bsky.social · 15/09/2025
📢 Excited to announce CompleNet 2026! Join us to share your network science research in a highly interdisciplinary conference! 🗓️ 4–8 May 2026 | 📍 Zaragoza, Spain 🇪🇸 🚨 Call for contributions open – submit by Nov 15, 2025! 🌐 Info & registration: complenet.weeblysite.com
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Brokoslaw Laschowski @drlaschowski.bsky.social · 05/09/2025
Come join us at University of Toronto. We're hiring a Professor of computational cognitive neuroscience. #neuroAI #compneuro jobs.utoronto.ca/job/Toronto-...
jobs.utoronto.ca
Professor - Computational Cognitive Neuroscience
Professor - Computational Cognitive Neuroscience
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