The Higgs mechanism was proposed in 1964 by three independent teams.
But here is the puzzle🤔: the "disruption index" says Higgs's paper is among the least disruptive ever.
So what is going on?
In our new paper, just out in #ScienceAdvances, we take up this puzzle: doi.org/10.1126/scia... 👇
1/7
Congrats, Tiago!
We have just updated our "Atlas of Inequality." Have a look at the new version and our research on how to map experience segregation in cities inequality.media.mit.edu
We’re excited to welcome 𝗘𝗹𝗮𝗶𝗻𝗲 𝗢. 𝗡𝘀𝗼𝗲𝘀𝗶𝗲 as an invited speaker at NetSci! A BU professor & leading data scientist, she advances health equity using AI & data—from mobile phones to satellites—through global collaborations and initiatives.
tinyurl.com/4t5p46yr
Still on the fence about NetSci? 👀
We’ve lined up an incredible group of speakers across complex systems, AI, biology, and more. Fresh ideas, deep dives, and new connections await.
This is your sign—register now 😉 www.netsci2026.com/registration
Huge thanks to our speakers, with more to come!
New on the arxiv:
“Graphs are maximally expressive for higher-order interactions”
arxiv.org/abs/2602.16937
We clarify central misconceptions in the recent literature on "higher-order networks".
w/ @piratepeel.bsky.social , @manlius.bsky.social, and @thilogross.bsky.social
Explainer 🧵: 1/N
⚙️ Working at the intersection of causality and networks?
We're organizing a satellite event at @netsciconf.bsky.social in Boston on June 1st. The focus is networks science and causal inference.
Submit your work by March 10th!
causnets.github.io
So yeah, already fourth iteration of my Data Analysis with AI course. gabors-data-analysis.com/ai-course/ All open source. I have an intro overview of AI and its use in data. gabors-data-analysis.com/courses/da-w...
The speaker lineup keeps getting better! ✨
Meet our next speaker, 𝗦𝗮𝗿𝗶𝗸𝗮 𝗝𝗮𝗹𝗮𝗻. A Professor of Physics at IIT Indore, her work spans nonlinear dynamics, complex systems & network science, revealing how network structure shapes collective behavior. Welcome!
#Speakers 👉 www.netsci2026.com/speakers
This probably merits a longer conversation @manlius.bsky.social but I think your work is about other types of problems with mobility data, namely how you process it and how you account for noise in the data. We can talk offline if you want.
As I mentioned @pholme.bsky.social this is not our first work on bias in mobility data. We have dozens of pages in the Supplementary Materials of our papers from 2019-2021 on detecting and alleviating biases. Unfortunately, people don't have time to read the SMs...
(from linkedin) Thanks, @manlius.bsky.social I know your work and, relevant, but I don’t think it is similar. We have long been working on detecting and mitigating various biases in mobility data, and this paper focuses on a particular bias: the daily temporal representation of people’s behavior.
For those working on mobility data, the paper includes a table outlining our assessment of the biases present in mobility data, how to measure them, and how to mitigate them.
Fantastic collaboration led by Sarah Sanchez, with @hamishgibbs.bsky.social, Takahiro Yabe, and Dan O'Brien
Who shows up in mobility data — and when — matters. Comparing mobility data with ATUS, we find systematic time-of-day biases across demographic groups, and show how temporal post-stratification corrects them and changes downstream results.
[New paper!] Mobility data are incredibly powerful, but also come with a long list of well-known biases (sampling, coverage, demographics, behavioral, etc.). In the paper, we survey them all and then zoom in on one that has been surprisingly underexplored: temporal bias.
arxiv.org/abs/2601.22330
Excited to share that I’ll be giving a talk at
@nunetsi.bsky.social on Thursday, Feb 19, 2026, at 1:30 pm ET (hybrid).
If you’re around (or want to join virtually), I’d love to see you there!
#ComputationalSocialScience #CareerMobility #Skills #FutureOfWork #Migration
(3/3) Still, it’s an interesting idea and a potentially useful sandbox for studying agent interaction and emergent behavior (even when it fails). The underlying OpenClaw setup also raises nontrivial security concerns that warrant more attention.
(2/3) Although people/researchers/coders are excited about it, most “activity” is noise: stochastic parrots talking to themselves. Have a look at this post with 1,700+ comments largely from a single bot repeating “1” or “agi yay!”: www.moltbook.com/post/f0b812b...)
LLMs were trained heavily on Reddit data, and now someone has built Reddit for LLMs: MoltBook, a social network for AI agents.
(1/3)
Another fantastic Invited Speaker joining NetSci 2026 💫
𝗔𝘀𝘂 𝗢𝘇𝗱𝗮𝗴𝗹𝗮𝗿 (MIT), MathWorks Professor and Head of EECS. Her work spans optimization, machine learning, economics, and networks, focusing on incentives and algorithms for data-driven human-machine systems. Welcome!
tinyurl.com/4t5p46yr
Please join us in welcoming 𝗞𝗶𝗺 𝗔𝗹𝗯𝗿𝗲𝗰𝗵𝘁 as the next School Speaker at NetSci 2026 ✨
A data & media artist and information designer, Kim explores how data and computational systems shape visibility in contemporary culture.
Speakers 🔗 www.netsci2026.com/speakers
📣 Announcing 𝗗𝗶𝗲𝗴𝗼 𝗚𝗮𝗿𝗹𝗮𝘀𝗰𝗵𝗲𝗹𝗹𝗶 as Invited Speaker at NetSci Conference 2026!
Professor at the IMT School for Advanced Studies in Lucca & at Leiden University’s Lorentz Institute for Theoretical Physics, his research combines statistical physics, information theory, & random-graph modeling.
New post: learn how to use the new interactive legends and screenshot control in R's mapgl package.
These features are great for interactive demos and visualizing custom scenarios without Shiny.
The new release (v0.4.4) is on CRAN now, so go get it!
walker-data.com/posts/mapgl-...
Submit your abstracts to #NERCCS2026!
See you in Rochester NY in March
And all these was written a lot time ago by James C. Scott in his famous book "Seeing like a state". We need a more complex systems approach to systems of systems (like transportation)
AI Slop en España
En España somos los reyes de los canales de youtube de la «IA basura» (slop) caracterizada por vídeos de baja calidad, poco auténticos o imprecisos.
En el Top #100 español hay 8 canales dedicados principalmente a estas mierdas, con 20+ millones de suscriptores www.digitaltrends.com/computing/th...
Thanks for the pictures!!
