Jung Ho Choi

PhD student @PennSP2 | Alum @HHHSchool | Organizational Behavior, Nonprofit Management, Computational Social Science

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

One of the BEST (and most powerful) apps for note-taking for academics: OBSIDIAN

But most folks don't know how to use it.

Here's how to get started 👇

Obsidian 101: A step-by-step guide with visuals 🧵

[Daniel P. Moriarity @dp_moriarity]

Been loving the causal inference resources for R at this site. Good breadth of coverage for people looking for something a little more hands-on than most of the resources I find.

https://t.co/kuqsSPgyZo

[ARNOVA @ARNOVA]

This year, we awarded 65 scholarships to early & emerging scholars from underrepresented groups. Congratulations to the #ARNOVA23 awardees! And thank you to our amazing volunteers for their work selecting this year's recipients.

Meet the winners at https://t.co/DSspxN0HkY

[PennSP2 @PennSP2]

More reception snapshots & back-to-school vibes with #PennSP2’s PhD in Social Welfare Program! Today, we’re spotlighting SP2's incredible assistant professors and returning PhD students. Here’s to insightful discussions, shared experiences & a bright academic journey! 📚✨#SP2PhD

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

Academic writing resources developed by Harvard, Purdue, and the University of York (UK) — all free:

A meta-thread 🧵

[Jung Ho Choi @junghochoi_]

@LucasMeijs It is my pleasure! I have learned so much from your work.

[Jung Ho Choi @junghochoi_]

#ARNOVA22 Such a warm and thought-provoking experience. As a first-time attendee, I learned so much and can't wait to be back in this space again next year!

[Tiana Marrese @MarreseTiana]

Still reeling from the amazing experience of #ARNOVA22

[Julien Cayla @juliencayla]

When teaching academic writing at the PhD level, here are 5 tools I recommend. A 🧵⬇️:

[Sachin Kumar @Sachintukumar]

Top free #DataScience resources :

1. CS109 Data Science
https://t.co/Ws6UKGqxhn

2. Data Science Essentials
https://t.co/KE0CVOMhV8

3. Learning From Data from California Institute of Technology
https://t.co/cGuklgFGtj

[Xiaolong Yang @yang_appstats]

Prof. Kosuke Imai's course "STAT 286/GOV 2003: Causal Inference with Applications" is now on Youtube (https://t.co/TIZh5ixKex)!!

[Vincent Geloso @VincentGeloso]

Here is a decent summary of the advantages and disadvantages of many tools in causal inference (taken from Valentelyte et al. (2021) #econtwitter cc. @causalinf @ez_angus @_WagnerG_

https://t.co/OjoEYPbgdA

[Matt Blackwell @matt_blackwell]

Interested in causal inference? I updated my course last year and have posted the course materials online. If you're teaching a causal inference course, please feel free to steal my lecture notes! https://t.co/fgSxhzGsnR

[Jung Ho Choi @junghochoi_]

Thrilled to be starting a new academic journey @PennSP2 as an incoming PhD student. I'm missing Minnesota, but I came to love Philly after spending only a few weeks!

[Yuan (Daniel) Cheng 程远 @chengyuan87]

How to deal with endogeneity when assessing the third sector's impact on society and why should we care? Check out this new @VoluntasJournal paper with @junghochoi_ @HHHSchool! Thank @MiraeKim_npo @palomaraggo for organizing this special issue! https://t.co/FIHw98nFO7