Saw the presentation at PolMeth2022. Very useful extension of Cinelli and Hazlett (2020) and works for various kinds of ML algorithms

Wow this one looks really neat

🚨New Paper!🚨 SO pumped to publish our team's latest paper "A Causal Test of the Strength of Weak Ties (SWT)" with Karthik Rajkumar, Guillaume St-Jacques, Iavor Bojinov & Erik Brynjolfsson in Science Magazine today! science.org/doi/10.1126/sc…

🚨 🚨 Announcing the 2023 Rebecca B. Morton Conference on Experimental Political Science on March 3-4 NYU Politics Department. Please submit your paper proposals to tinyurl.com/57u9a5bt by December 12! 🚨 🚨 Gwyneth McClendon

Never imagined I would see this happen in China one day...

Yes let's listen to professionals...

With a continuous treatment variable, is it nobler to suffer the risk of violating positivity, or to run a regression against the odds of model misspecification?

It is badass to start the semester with inference and talk about experiments only in the 18th class...

Bought a box of cherries and found one of them moldy. To eliminate the impact of interference dependence, I removed all its first- and second-degree neighbors in space. If I still get sick, the assumption of approximate neighborhood interference must be true

A lot of fun!

I'm all good, sharing candies with undergraduates who seek for shelters in my office 😂

Wow we got cited by Guido!

She is a noble woman. RIP

Just finished my first semester teaching PhD level causal inference at uncpolisci. It was a lot of fun! (Not sure whether the students feel the same way) All my slides can be found online: yewang-polisci.com/teaching. Hope they are useful for the community!

It is exciting to see the published version! Very grateful for the chance to collabrate with my awesome coauthors and work at 21st Century China. Hopefully this study can draw more people's attention to the situation of academics under the increasing tension between two superpowers