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
Hoy toca abrir datos desde acá! Caíganle al #OpenDataDay...
3
9
1
63
6,076
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 Lévy flights. Our new paper suggests this "universal law" is largely an aggregation artifact. theprimary.com/science/2026-…
1
2
2
120
¡Finalmente se publicó nuestro artículo sobre #ruido percibido y salud mental en el Estado de México! Con @oamartinez2 @IBERO_mx Les invito a leerlo: link.springer.com/article/10…
10
27
2
78
1,250
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-sc…
48
177
27
2,355
208,017
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.
5
26
10
163
29,548
Irving MA retweeted
Ya el vibe coding terminó Todos están volviendo a aprender a programar
95
62
14
1,777
269,857
¿Por qué debe recaer la carga de prueba en los acusados y no en el acusador, @el_pais? Si ustedes publicaron la acusación, era su labor sustentar o desmentir lo que señaló Pangram además de explicar si pidieron permiso al autor y la editorial para pasar la obra por el detector.
2
33
3
153
8,167
Irving MA retweeted
Brazil's election was decided in the densely populated south and north east
78
1,073
149
11,049
296,336
Irving MA retweeted
Polylog is Richard Hladík, Václav Rozhoň, Tom Sláma, and yours truly. Video: youtube.com/watch?v=kMHCl2PG…
1
5
41
3,452
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 people’s 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 —-------------------------------------------------------- 𝐓𝐡𝐞 𝐍𝐞𝐰 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐨𝐟 𝐌𝐚𝐩𝐬 - thenewscienceofmaps.com/
9
50
1,317
Today’s 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 sensor’s 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/s41598-0… #365Papers #Day300 —-------------------------------------------------------- 🌍 𝐋𝐞𝐚𝐫𝐧 𝐠𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐦𝐞: linkedin.com/feed/update/urn…
3
5
41
1,237
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 —-------------------------------------------------------- 🌍 𝐒𝐞𝐞 𝐡𝐨𝐰 𝐈 𝐭𝐞𝐚𝐜𝐡 𝐠𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞: linkedin.com/feed/update/urn…
1
9
1
162
4,815
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-pla… #365Papers #Day305 —-------------------------------------------------------- 🌍 𝐒𝐞𝐞 𝐡𝐨𝐰 𝐈 𝐭𝐞𝐚𝐜𝐡 𝐠𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞: linkedin.com/feed/update/urn…
1
14
1
74
2,122
Bivariate maps strike again on the scale of great Spanish cities: 𝐓𝐡𝐞 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐩𝐫𝐨𝐱𝐢𝐦𝐢𝐭𝐲 𝐭𝐨 𝐚𝐦𝐞𝐧𝐢𝐭𝐢𝐞𝐬 𝐨𝐧 𝐡𝐨𝐮𝐬𝐢𝐧𝐠 𝐚𝐟𝐟𝐨𝐫𝐝𝐚𝐛𝐢𝐥𝐢𝐭𝐲: 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐌𝐞𝐝𝐢𝐭𝐞𝐫𝐫𝐚𝐧𝐞𝐚𝐧 15-𝐦𝐢𝐧𝐮𝐭𝐞 𝐜𝐢𝐭𝐢𝐞𝐬 - 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 100×100m 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. 𝐏𝐚𝐩𝐞𝐫 - sciencedirect.com/science/ar… 𝐓𝐡𝐞 𝐍𝐞𝐰 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐨𝐟 𝐌𝐚𝐩𝐬 - thenewscienceofmaps.com/
2
4
1
81
2,071
Códigos postales en la CDMX Con datos de: datos.gob.mx
8
145
6,166
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. 𝐎𝐫𝐢𝐠𝐢𝐧𝐚𝐥 𝐩𝐨𝐬𝐭: lnkd.in/p/dK374Z5n 𝐈𝐧 𝐏𝐲𝐭𝐡𝐨𝐧: youtube.com/watch?v=_RU8GlUb… 𝐓𝐡𝐞 𝐍𝐞𝐰 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐨𝐟 𝐌𝐚𝐩𝐬 - thenewscienceofmaps.com/
1
29
71
2,092
"La utopía eres tú..." #Utopias
3
255
Hoy tocó conocer la #utopia Ixtapalcalli en Iztapalapa... Maravillosa!
1
9
575
I made an old-style map with MapLibre GL JS for fun.
6
14
1
113
3,731
古地図風地図を、縦書きが改善されたMapLibre GL JS v6.15.0で作ってみた
5
64
2
408
22,507
Ya viene el #30DayMapChallenge escríbeme y colaboramos 🫶🏻🩷💙🗺️
1
5
16
506