Gonzalo Ballestero

439 posts

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Gonzalo Ballestero

Gonzalo Ballestero

@ballesterogh

PhD candidate in Economics @PennStateEcon | Market design and Applied AI

انضم Ağustos 2020
760 يتبع671 المتابعون
Martin Iñaki Loriente
Martin Iñaki Loriente@KikiLoriente·
En agosto arranco el PhD en Economía en Arizona State University 🎓 No lo puedo procesar todavía. ¿Alguien más arrancando en Economía este año?
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Dwarkesh Patel
Dwarkesh Patel@dwarkesh_sp·
Terence Tao spent a year at the Institute for Advanced Study - no teaching, no random events of committees, just unlimited time to think. But after a few months, he ran out of ideas. Terence thinks that mathematicians and scientists need a certain level of randomness and inefficiency to come up with new ideas.
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Jessica Hullman
Jessica Hullman@JessicaHullman·
This winter I co-taught a grad seminar on when & how LLMs can stand in for human subjects in social science research, to a mix of CS & social science students. It was fun (albeit w/occasional friction) to talk methods w/such a diverse group. Reading list: statmodeling.stat.columbia.edu/2026/03/10/new…
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Joachim Schork
Joachim Schork@JoachimSchork·
gander is an R package that brings AI directly into RStudio or Posit. Instead of switching between your IDE and a chat window, gander lets you ask questions or request code changes right inside your script. It automatically shares relevant context such as variable names, data types, and the surrounding code, so the model can provide precise answers without extra copy-pasting. You can trigger it with a simple keyboard shortcut, choose from different AI models (OpenAI, Claude, or local ones), and control how much of your data is sent for context. In short, gander makes working with AI in RStudio smoother, faster, and smarter. Take a look at the visualization below. It shows an example of how to use gander to create a ggplot2 graph. It’s taken from the package website: simonpcouch.github.io/gander/ Join my newsletter for more tutorials and insights on R, Python, data science, and AI. More info: statisticsglobe.com/newsletter #DataAnalytics #Data #datavis
GIF
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Stanford HAI
Stanford HAI@StanfordHAI·
📢 New policy brief: AI agents that can simulate human behaviors and attitudes can help test ideas in social science. Our latest brief introduces a generative AI agent architecture that simulates the attitudes of 1,000+ real people. Learn more: hai.stanford.edu/policy/simulat…
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Martin Nistal
Martin Nistal@MartinNistal·
Mañana abren las inscripciones para el intensivo de verano de la FCE-UBA donde voy a estar dando el curso de Evaluación de Impacto. Un curso fundamental para todxs los interesados en Políticas Públicas Van a haber varias aplicacion en Econ de la Educación Se agradece RT!
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Philipp Heimberger
Philipp Heimberger@heimbergecon·
This is a useful paper on open-ended survey data. Open-ended questions can help reveal individuals’ motives, mental models and decision-making processes. Open-ended survey data have been used to study what’s on top of people’s minds w.r.t. important economic policy questions.
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Tayfun Sönmez
Tayfun Sönmez@tyfn_sonmez·
Thrilled that my Minimalist Market Design monograph is forthcoming in the Econometric Society Monograph Series. The revised and much expanded version is now available on arXiv: arxiv.org/abs/2401.00307 This thread unpacks the framework — scholarly, reflective, personal. (1/20)
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NBER
NBER@nberpubs·
Early career mismatch matters: Overqualified are less motivated yet outperform others in the same job; underqualified exert more effort but still lag, from Julie Berry Cullen, Gordon B. Dahl, and Richard De Thorpe nber.org/papers/w34215
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