
Director de Datos Abiertos en @AgenciaGobMx. Construyo cosas con datos. Los datos no son recurso para generar valor, son herramienta para entender nuestro mundo
Mexico, DF
Joined April 2009
- Tweets39.1K
- Following5.8K
- Followers9.7K
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Irving MA retweeted
Reviewed 40+ #dataviz projects for the Pacific Dataviz Challenge. Top caveats:
๐ Claude default look
๐ 40 charts, no story
โ Useless buttons
๐ฅธ Text nobody reads
๐ฎ Wrong chart type
๐ฃ Long lines
๐ฝ๏ธ Endless animations
๐ Legends, not labels
Details ๐
yan-holtz.com/blog.html
Irving MA retweeted
Did human mobility ever actually follow a universal power law?
A long-standing assumption in network physics is that human travel mirrors scale-free Lรฉvy flights. Our new paper suggests this "universal law" is largely an aggregation artifact.
theprimary.com/science/2026-โฆ
Irving MA retweeted
ยกFinalmente se publicรณ nuestro artรญculo sobre #ruido percibido y salud mental en el Estado de Mรฉxico!
Con @oamartinez2 @IBERO_mx
Les invito a leerlo: link.springer.com/article/10โฆ
Irving MA retweeted
The complexity theory result is actually huge.
P problems can be solved in polynomial time. It was widely believed that NP-complete problems require exponential time.
P = NP states that NP-complete problems can be solved in polynomial time. OpenAI didn't prove that. But, they proved that (some) NP-complete problems can be solved faster than exponential time, meaning:
- P = NP, or
- the complexity of NP problems is a "middle thing" between polynomial and exponential, eg. O(n^log n)
If it survives peer reviews, this could be one of the biggest CS breakthroughs in decades.
Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory).
AI starting to help us improve our understanding of the universe! openai.com/index/building-scโฆ
Irving MA retweeted
openai says its ai just solved three famous open problems at once: one in math, one in computer science and one in physics.
the math one has been open since 1991. the computer science one is an assumption hundreds of papers were built on, and openai says it's wrong. the physics one touches a millennium prize problem. outside experts are now checking all three, so none of it is settled until they're done.
1. math: waves can't stay focused for long
picture ripples in a pond all rushing toward one spot. for a split second they pile up into a tall spike, then spread out again. in 1991 a mathematician named sogge guessed that this extreme focusing is always brief, and that at a random moment a wave is much calmer than at its worst.
it was proved in 2 dimensions in 2019. openai says its model proved it in every dimension, which also settles two other famous problems, the kakeya and restriction conjectures. the next day it was checked in lean, a program that only accepts a proof if every single step is correct.
2. computer science: a shortcut that "shouldn't exist"
some puzzles seem to force you to try nearly every combination, like a lock where the only way in is testing code after code. the exponential time hypothesis (eth) is the widely believed idea that for puzzles like this there's no big shortcut.
hundreds of papers in graph theory, biology, databases and more lean on it to say "this can't be done much faster." openai says its model proved eth is false, also checked in lean. that reopens how much faster a lot of those tasks could get.
the researchers who first proposed eth, impagliazzo and paturi, are leading the group checking it, with ryan williams. the proof is public for anyone to look at.
3. physics: putting the strong force on solid math
the strong force is what holds tiny particles called quarks together inside every atom, using carrier particles called gluons as the glue. physicists describe it with a theory called qcd and use it constantly, but nobody had proved it holds up as rigorous math.
openai says its model proved it does, and did the same for a unified version of the standard model, physics' main theory of particles. one piece of the work, proving that yang-mills theory exists, is part of one of the clay institute's millennium prize problems.
the physics group is led by david gross, who shared a nobel prize for work that helped establish qcd. they're holding the ai's work for now and writing it up themselves.
openai says it wants no academic credit for any of this. the experts checking it are unpaid, signed no ndas, and are free to publish whatever they find.
Irving MA retweeted
ยฟPor quรฉ debe recaer la carga de prueba en los acusados y no en el acusador, @el_pais? Si ustedes publicaron la acusaciรณn, era su labor sustentar o desmentir lo que seรฑalรณ Pangram ademรกs de explicar si pidieron permiso al autor y la editorial para pasar la obra por el detector.
Irving MA retweeted
Polylog is Richard Hladรญk, Vรกclav Rozhoล, Tom Slรกma, and yours truly. Video: youtube.com/watch?v=kMHCl2PGโฆ
Irving MA retweeted
This one is about the theory behind urban mobility. Our mobility patterns are full of hotspots, in this paper called localities. These are clusters of places where peopleโs movement patterns are tightly connected, such as home and work centers. However, these hotspots are usually not directly defined by admin boundaries, but are quite detectable by various algorithmic methods.
This piece proposes a new one, combining topology and network science to detect these hotspot areas from mobility data.
More: arxiv.org/pdf/2510.17174
#365Papers #Day304
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๐๐ก๐ ๐๐๐ฐ ๐๐๐ข๐๐ง๐๐ ๐จ๐ ๐๐๐ฉ๐ฌ - thenewscienceofmaps.com/
Irving MA retweeted
Todayโs pick is about coastal and hydrographic mapping, introducing a new approach to bathymetric monitoring - mapping underwater topography. The paper relies on a very impressive methodological stack includng Single- and Multibeam Echo Sounders, LiDAR (airborne and mobile), and UAV photogrammetry.
Ten, the paper presents a novel weighted average data fusion method combining each sensorโs measurements to build a high-precision coastal model. If you are interested in coastal modeling or combining multi-layered geospatial sensor data, check this out!
More: nature.com/articles/s41598-0โฆ
#365Papers #Day300
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๐ ๐๐๐๐ซ๐ง ๐ ๐๐จ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐๐๐ญ๐ ๐ฌ๐๐ข๐๐ง๐๐ ๐ฐ๐ข๐ญ๐ก ๐ฆ๐: linkedin.com/feed/update/urnโฆ
Irving MA retweeted
This preprint shows how deep learning and high-res aerial imagery can accurately map trees outside forests - those scattered across fields, hedgerows, and groves that are often overlooked in environmental monitoring, or sometimes even considered as data artufacts. Check out how this vision transformer-based model works:
More: arxiv.org/pdf/2510.25239
#365Papers #Day316
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๐ ๐๐๐ ๐ก๐จ๐ฐ ๐ ๐ญ๐๐๐๐ก ๐ ๐๐จ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐๐๐ญ๐ ๐ฌ๐๐ข๐๐ง๐๐: linkedin.com/feed/update/urnโฆ
Irving MA retweeted
Have you heard about Central Place Theory before? Well, you undoubtedly experienced it.
This theory explains why cities, towns, and villages are spaced as they are, based on the services they provide to the surrounding areas, building analogies between human behavior in urban settings and traditional Physics, from gravity to the beautiful symmetry properties of hexagon grids. Larger places offer more specialized services because they can attract people from farther away (range) and meet the minimum population needed to support them (threshold).
More: gisgeography.com/central-plaโฆ
#365Papers #Day305
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๐ ๐๐๐ ๐ก๐จ๐ฐ ๐ ๐ญ๐๐๐๐ก ๐ ๐๐จ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐๐๐ญ๐ ๐ฌ๐๐ข๐๐ง๐๐: linkedin.com/feed/update/urnโฆ
Irving MA retweeted
Bivariate maps strike again on the scale of great Spanish cities:
๐๐ก๐ ๐ข๐ฆ๐ฉ๐๐๐ญ ๐จ๐ ๐ฉ๐ซ๐จ๐ฑ๐ข๐ฆ๐ข๐ญ๐ฒ ๐ญ๐จ ๐๐ฆ๐๐ง๐ข๐ญ๐ข๐๐ฌ ๐จ๐ง ๐ก๐จ๐ฎ๐ฌ๐ข๐ง๐ ๐๐๐๐จ๐ซ๐๐๐๐ข๐ฅ๐ข๐ญ๐ฒ: ๐๐ง๐ฌ๐ข๐ ๐ก๐ญ๐ฌ ๐๐ซ๐จ๐ฆ ๐๐๐๐ข๐ญ๐๐ซ๐ซ๐๐ง๐๐๐ง 15-๐ฆ๐ข๐ง๐ฎ๐ญ๐ ๐๐ข๐ญ๐ข๐๐ฌ
- Problem: Does living in a 15-minute city make housing unaffordable? A new study on 4 Spanish cities reveals the answer is non-linear - and spatially surprising.
- Method: Bivariate maps overlaying walking time to 25 daily amenities with official rent prices at 100ร100m grid resolution across Barcelona, Valencia, Palma, and Granada.
- Barcelona (polycentric, top figure): Multiple accessibility clusters away from the center - yet some of the priciest zones (Pedralbes, Diagonal Mar) combine low walkability with high rents, driven by luxury and tourism rather than proximity.
Palma de Mallorca (monocentric, lower figure): Classic ring structure - highest access + highest rents at the historic core, a mid-ring of good access at lower prices, then peripheral low-access areas spanning the full price range.
๐๐๐ฉ๐๐ซ - sciencedirect.com/science/arโฆ
๐๐ก๐ ๐๐๐ฐ ๐๐๐ข๐๐ง๐๐ ๐จ๐ ๐๐๐ฉ๐ฌ - thenewscienceofmaps.com/
Irving MA retweeted
Cรณdigos postales en la CDMX
Con datos de: datos.gob.mx
Irving MA retweeted
15 minutes - but for whom? A brilliant map by @Francesco Procacci on why the clock is the same, but accessibility isn't.
From the same home, a child, a young adult, a pregnant woman, an elderly person and a new arrival to the city each reach a very different city. Heat, rain, a steep street or a broken station lift shrink it even further. It's a good reminder that most isochrones (the area reachable within a given travel time) quietly assume one average walker.
bject through optical, x-ray and radio bands, so cities need to be read through who, how, how often, when and for what purpose.
๐๐ซ๐ข๐ ๐ข๐ง๐๐ฅ ๐ฉ๐จ๐ฌ๐ญ: lnkd.in/p/dK374Z5n
๐๐ง ๐๐ฒ๐ญ๐ก๐จ๐ง:ย youtube.com/watch?v=_RU8GlUbโฆ
๐๐ก๐ ๐๐๐ฐ ๐๐๐ข๐๐ง๐๐ ๐จ๐ ๐๐๐ฉ๐ฌ - thenewscienceofmaps.com/

































