Ecotheoretica

A theorist to be.

[Nageeb Ali @SNageebAli]

I like what @JlibDoesEcon did here. Using AI to help readers play with papers is the future.

But a question for my fellow theory tribe members: why don't you include a short self-contained example that illustrates the core forces? That helps people read and teach your work.

[Nageeb Ali @SNageebAli]

This looks like a very cool paper.

For the other side of the coin, check out Kapon & Camboni's v. recent work on random purges:
https://t.co/5VCEwo1Wul

[Nageeb Ali @SNageebAli]

Reading the news, I wonder how one might update this paper in a few years:

https://t.co/nHZq2msluU

[Math Cafe @Riazi_Cafe_en]

Stanford's “Probability Theory” lecture notes (PhD level)

PDF:https://t.co/CsXpYAYUEU

[Daron Acemoglu @DAcemogluMIT]

I recommend Columbia mathematician Michael Harris’s wide-ranging, informative and thought-provoking essay in Boston Review on AI and mathematics:
https://t.co/igA4fbmhgc
Harris rightly worries about the possible negative effects of AI-generated proofs and mathematics on collective knowledge in the field, as I have also argued here: https://t.co/oKhvHdjpP3
Of course, used in the right way, AI is a tool that can be beneficial in many fields. The question is whether we can develop institutions, norms and practices to support its beneficial use and whether the current direction of the technology in Silicon Valley will enable us to do so.

[Haris Aziz @harisazizk]

New working paper on "Menu Selection".

Co-authors: @shivikanarang @tweeting_sanj @nsmattei

https://t.co/Ydl3eqsDC5

[Haris Aziz @harisazizk]

Leiden declaration on AI and mathematics

https://t.co/Oy3i3WAccp

[Ivan Werning @IvanWerning]

It is an absolute pleasure to release this new work, joint with the great Emmanuel Farhi and Alan Olivi: "Price Theory for Incomplete Markets" (the title is a wink at my alma mater).

At long last, as it has been a very long haul.
https://t.co/YArkolyWYu
A brief thread 1/n

[Nageeb Ali @SNageebAli]

For those interested: GameChanger interviewed me about my work with Max Mihm and Lucas Siga on zero-sum thinking:

https://t.co/zxR2SrsfPZ

This podcast series is aimed at non-specialists, and I have learned a fair bit from the other episodes.

[The Alex Nowrasteh @AlexNowrasteh]

If this beautiful paper by @ATabarrok and @Tim_Groseclose doesn't make you fall in love with economics, then you just don't have a heart (for social science).

https://t.co/pmNDDWuLKu

[Math Cafe @Riazi_Cafe_en]

UC Berkeley's "Introduction to Probability at an Advanced Level"

PDF: https://t.co/cibGWtpeo6

[Ecotheoretica @ecotheoretica]

@harisazizk @austmathstrust @ACSnewsfeed @UNSW @WomenInSTEMAu @GirlsWhoCode Congratulations 🎉

[Elliot Lipnowski @ElliotLip]

This looks like a really useful piece of applied theory

[TheoreticalEconomics @EconTheory]

Why do people think streaks are unlikely? This paper develops a formal account of a belief in mean reversion and shows how it can generate some of the core implications of the Law of Small Numbers https://t.co/jwIO79GLlX

[Math Cafe @Riazi_Cafe_en]

Topology
by James Munkres

PDF: https://t.co/ATohIcYml0

[TheoreticalEconomics @EconTheory]

Polarization happens https://t.co/WvD5SoQx4m

[Math Cafe @Riazi_Cafe_en]

Caltech's "Probability" lecture notes by Omer Tamuz

PDF:https://t.co/ksG8iXIJbp

[Rohit Lamba @rohlamba]

Such great news. @HyunSongShin is a rockstar. And at heart... a true theorist. The Morris and Shin papers are some of my favorites. Many congrats Hyun :)

[Math Cafe @Riazi_Cafe_en]

Applied Problems in Probability Theory
by Wentzel and Ovcharov

Archive link: https://t.co/qThB2b39Pe

[John Stachurski @john_stachurski]

Tom and I have finally finished a draft of Dynamic Programming Vol 2! Exhausting but satisfying. New approach to DP theory, advanced material, many applications... https://t.co/PPDk98DFgV