Iván Higuera-Mendieta

@ivanhigueram.com

Earth Science PhD @ Stanford | Causal inference and ML applied to the 🌏 | he/him ivanhigueram.com

We are excited to announce the release of the Environmental Hazard Adaptation Atlas, an effort to map ongoing and future environmental hazards and their impacts on society, and to provide up to date evidence on what policies and interventions work to reduce impacts: adaptationatlas.org. Quick thread

Environmental Hazard Adaptation Atlas | ECHO Lab | Stanford University

Studying the impacts of environmental change on human health and well-being

adaptationatlas.org

This is well researched. But I bristle at the idea of this as a “scientific standoff.” A hallmark of science is that there are almost always contrary paradigms challenging the dominant one. But you have to know when the weight of evidence is on different planets. news.mongabay.com/2025/08/old-...

Old forests, new fires, and a scientific standoff over active management

This is the second installment of Mongabay’s coverage of active management tools for forest fires. Read Part 1. Photographs of forests in the western U.S. from the mid-1800s show a starkly different r...

news.mongabay.com

A large low over North America guides smoke over the skies of the eastern US, originating from wildfires on the western side of the continent.

AI in weather forecasting? Check out this amazing thread diving into the robustness of modern data-driven weather forecasts in past and future climates. (Honestly, one of the biggest questions about ML in weather in in- and out-of-distribution events.) 🧪 #mlsky

Thomas Rackow 🧊@trackow.bsky.social · 2y ago

First post on @bsky.app 🎉: Can #AI-based weather forecasting models (trained on present-day data) provide skillful forecasts also in different colder and warmer states of the climate system? Our preprint in arxiv explores this question: doi.org/10.48550/arX... Here is what we found so far (🧵1/7)

btw this is why friends dont let friends skip the “boring classical ML” chapters in Elements of Statistical Learning‼️ (True story: the origin of this case study is that @alanjeffares.bsky.social[big EoSL nerd] looked at the neural net eq&said “kinda looks like GBTs in EoSL Ch10”&we went from there)

Alicia Curth@aliciacurth.bsky.social · 2y ago

but WAIT A MINUTE — isn’t that literally the same formula as the kernel representation of the telescoping model of a trained neural network I showed you before?? Just with a different kernel?? Surely this diff in kernel must account for at least some of the observed performance differences… 🤔7/n