Check out the blog post Wasim and Cindy Tong wrote announcing the GA launch: opensource.posit.co/blog/2026-07... Give it a try and let us know how you get on!
Профиль
alex hayes
Профиль Vivelypostdoc @ stanford econ + incoming assistant prof @ oregon state statistics. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com
We are implementing a similar policy at @arxiv.bsky.social. If there is incontrovertible evidence of LLM slop in a paper, this means the authors did not take the time to read the LLM output and we can't trust anything else in the paper. Penalty is 1 year ban from arXiv followed by...
This is the clearest and most accessible introduction to DML I've ever read: arxiv.org/abs/2504.08324 Congrats to the authors @aahrens.bsky.social, @markeschaffer.bsky.social, et al on this amazing paper and great accompanying R package! I'm now DML-pilled.
We have summer internships y'all! Come work at Posit on the PyData, tidymodels, shiny, or Connect teams: grnh.se/tigz810a3us. You will have an awesome time, learn a ton, and help advance our open source and pro tools 🧰 #rstats #pydata
Strength In Numbers is looking for a smart part-time survey research assistant (or a few) www.gelliottmorris.com/p/strength-i...
This might be the biggest job in (open) science. Cornell is creating a new non-profit organization to house @arxiv.bsky.social -- and hiring a new person to lead it. jobs.chronicle.com/job/37961678...
Grant Witness is hiring! We're seeking a full-time data scientist to join our team building data resources to support journalism, litigation, and activism protecting science, public health, and the rule of law. grant-witness.us/apply.html #rstats
Job Opening: Data Scientist – Grant WitnessGrant Witness seeks a data scientist for a full-time position on our team tracking changes to U.S. federal grantmaking. We are also hiring for part-time/contract positions. Join us!grant-witness.usNew 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
New paper! The Linear Representation Hypothesis is a powerful intuition for how language models work, but lacks formalization. We give a mathematical framework in which we can ask and answer a basic question: how many features can be stored under the hypothesis? 🧵 arxiv.org/abs/2602.11246
"Ten simple rules for teaching data science": arxiv.org/abs/2602.02874 A new preprint by @minecr.bsky.social and myself. We'd love any feedback!