Paul park

B.A economics/ MS student in AI/want to be phd in microeconomics

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2026 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel to Robert E. Hall and Michael Woodford “for microeconomic foundations of macroeconomic stabilisation.”

#NobelPrize

[Paul park @voidmain443]

4/ Credit where it's due: the intuition throughout is Strang's. This is an attempt to carry it to students who stalled on the math. CC-BY 4.0, MIT-licensed code. Feedback welcome. #LinearAlgebra #EconTwitter #OpenEducation #Python

[Paul park @voidmain443]

New open-access textbook (Korean): Gilbert Strang's MIT 18.06, rebuilt for econ & social science undergrads.

34 lectures × (theory note + runnable Python notebook) + 60 problems from economics & industry.

Refined over 2 years of teaching 30 students.
https://t.co/MMWWCpmaly

[Paul park @voidmain443]

3/ The last part flips the direction: 60 problems from economics and industrial engineering where you're given a situation, not a matrix, and have to recognize the linear algebra in it. Plus supplements on PCA/SVD, numerical LA, and graph Laplacians.

[Paul park @voidmain443]

2/ Why another set of notes? After teaching 30 undergrads over two years, the two recurring blockers were: (a) reading an equation and forming an intuition for it, (b) actually simulating it. So each lecture comes as a theory note + a numpy/plotly notebook you run line by line.

[Paul park @voidmain443]

1/ Sharing an open-access linear algebra textbook I've been building for economics & social science students. It follows Gilbert Strang's 34 MIT 18.06 lectures, in Korean. https://t.co/MMWWCpmaly

[Yoto V. Yotov @YotovG]

📢NEW DATA: FINANCIAL SANCTIONS📢

After a long and demanding effort, we're proud to release the Global Sanctions Data Base–Financial Sanctions, alongside the updated GSDB-R5.

Deep thanks to a great team: Costas, Erdal, Gabriel, Heider, Ohyun & Sasha.👇

https://t.co/zQlpv8UmhD

[Priyanshu @priyanshudotsol]

someone wrote a 680 page interactive book on cs algorithms

[Matias Scalbi @MatiasScalbi]

🔥 "Does Trend-Following Still Work on Stocks?" Paper de 2025 buenísimo para entender por qué tu bot necesita aceptar perder y que existen estrategias MUY RENTABLES con bajo win rate

75 años de data (1950-2024), 66.000 trades simulados en TODAS las acciones líquidas USA. Dataset completo, sin trampa

La estrategia es brutalmente simple: comprás cuando una acción hace nuevo máximo histórico, salís con trailing stop ATR. Long-only

Los números rompen mitos: win rate de 43.9% (perdés 56% de las veces), pero menos del 7% de los trades genera TODA la rentabilidad. El secreto NO es ganar mucho, es dejar correr a los pocos ganadores que explotan

Promedio ganador: +1.90R. Promedio perdedor: -0.70R. La asimetría hace toda la diferencia. La mayoría de los traders fallan acá: cortan ganadores temprano y mantienen perdedores esperando recuperarse

Link al paper en el primer comentario

[Mapping AI @mapping_ai]

Who actually shapes AI policy in the U.S.?

We mapped 1,812 entities: 745 people, 918 organizations, 2,925 relationships. Frontier Labs, AI Safety orgs, Think Tanks, Government, VCs, and more.

https://t.co/6RDB1R0qNd

[CyrilXBT @cyrilXBT]

https://t.co/mDFXdlAAM7

[Qiusheng Wu @giswqs]

Introducing anymap-ts: a new Python package that makes geospatial visualization easy!

Built on MapLibre + TypeScript, anymap-ts brings the same rich mapping experience to both the web and Jupyter Notebook. It supports many popular geospatial formats, including GeoJSON, GeoParquet, FlatGeobuf, PMTiles, COG, Zarr, COPC LiDAR, and Gaussian Splat.

It also includes powerful built-in UI components such as a minimap, bookmarks, print tool, view state manager, STAC search, street view, and geometry editor.

Try it out:
Web demo: https://t.co/sktYpsK6i9
Jupyter demo: https://t.co/38gJG8e60m

GitHub: https://t.co/rJ0pLMrrbU
Documentation: https://t.co/u6rOGlrIe3
Video tutorial: https://t.co/1Wsv85kXdr

#mapping #maplibre #typescript #jupyter #python

[Martin Rosvall @m_rosvall]

New preprint: Community Detection with the Map Equation and Infomap: Theory and Applications https://t.co/zCk0pajzYp

Explore the map equation's theoretical framework and learn to apply Infomap to diverse research problems. @antoneri @daniel_edler @chrisbloecker

[Giuseppe Cavaliere @CavaliereGiu]

Hi #EconTwitter!

Interested in the #economics and #econometrics of networks?

📚 Check out these two essential reads:

1️⃣ Edited by Bryan Graham (@UCBerkeley) & @PaulaAureo (@UCL) — a deep dive into econometrics of networks.

2️⃣ By Tom Sargent (@nyuniversity) & @john_stachurski (@ANU_Research) — covers economics, graph theory, linear algebra, and more.

Both highly recommended! ⭐️

Links
Tom & John's https://t.co/hA8wTUpJ30
For Bryan & Aureo's book: Elsevier link to chapters here https://t.co/czaNKCVl2C (For preprint versions: check authors webpages)

[Giuseppe Cavaliere @CavaliereGiu]

Hi #EconTwitter!

Interested in #MachineLearning and its application to #econometrics?

Check out this super interesting course by Emmanuel Flachaire and Ewen Gallic, which include an amazing set of notes (400+ pages) about programming in R!

Cool stuff - Highly recommended!

[Paul park @voidmain443]

@LukeWarrd Send

[Kenneth Todd @kennethtodd]

ChatGPT isn’t the only AI-powered website…

Here are 14 AI websites that feel illegal to know about:

[Marko Denic @denicmarko]

If you're looking for a remote job, open this:

[Ange @angealbertini]

If you like binary visualisations, check https://t.co/hRnxu6Q0TU

[Binni Shah @binitamshah]

The Cyberclopaedia : Linux Privilege Escalation Now for Free on the Cyberclopaedia! : https://t.co/FnzXtnAcYu