Nari Yoo

Abstract: Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously toa) counter the technology industry’s marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues.

Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI (black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf. Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al. 2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).

Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.

Protecting the Ecosystem of Human Knowledge: Five Principles

Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n

06.09.2025 08:13 — 👍 3048    🔁 1546    💬 96    📌 233

Praxis - Embedding Driven Text Analysis of Crease’s Stance Towards Chinese Immigrants This notebook aims to demonstrate how machine learning can assist with historical and other humanity research.

At long last, I can post my team's summer project: applied modules to teach how ML/AI tools are changing social science and humanities research: ubcecon.github.io/praxis-ubc/

Highlights:

LegalBERT to analyze anti/pro-immigrant sentiment in 19th c. BC law: ubcecon.github.io/praxis-ubc/d...
🧵1

05.09.2025 21:43 — 👍 53    🔁 21    💬 1    📌 2

Every person on Bluesky should know:
* Every post on Bluesky is PUBLIC forever
* Every post on Bluesky is archived by ICE, NSA, and many other agencies
* Even if you delete a post, it’s already been captured
* Judges don’t care if you were “kidding” or being ironic

www.404media.co/the-200-site...

16.03.2025 18:24 — 👍 21760    🔁 11272    💬 1170    📌 891

Insufficient sample size or insufficient attention to marginalized populations? A practical guide to moving observational research forward Naomi Harada Thyden; Insufficient sample size or insufficient attention to marginalized populations? A practical guide to moving observational research for

Are you interested in analyzing small samples from marginalized communities and aren't sure how?

My new commentary in AJE's collection on Methods in Social Epidemiology lays out rec's for researchers, public health practitioners, and data owners.

DM your email address if you need access.

18.02.2025 18:12 — 👍 58    🔁 28    💬 4    📌 3

#Stata #bimap is updated to v2.2 with major functionality improvements:

- Better legend control.
- Option "geopre()" allows layers below the bimap.
- Some options renamed.

More info:
github.com/asjadnaqvi/s...

Up soon on #SSC!

23.02.2025 12:20 — 👍 7    🔁 4    💬 2    📌 0

Proud to announce the completion of our study, "Lesbian, Gay, and Bisexual Strength Survey." We surveyed a total sample of N=1,256 LGB individuals in the U.S. with almost equal racial quota sampling.

20.02.2025 13:11 — 👍 13    🔁 2    💬 2    📌 0

I am co-organizing this online speaker series about Data Science for Social Good (DSSG)!

Please spread the word to #SWTech academics and practitioners 🔎

01.02.2025 20:08 — 👍 8    🔁 3    💬 2    📌 0

Struck text

On January 30, 2025 Texas State Board of Social Work Examiners will vote to change the state statute that governs continuing education requirements to eliminate "cultural diversity" and instead require CEs on "distinct populations." #SocialWork

24.01.2025 02:26 — 👍 5    🔁 4    💬 1    📌 1

Yes!!!! It's nice to be connected with you here and see the #SWTech community on #Academicsky 😄

04.12.2024 03:39 — 👍 1    🔁 1    💬 0    📌 0

Yay!!! It's nice to be reconnected with you here! Thanks for adding me to the feed 😄

28.11.2024 14:44 — 👍 2    🔁 0    💬 1    📌 0

Thank you so much, Dale! 🤗 I am SO lucky to work with you at NYU Silver!!

28.11.2024 03:21 — 👍 1    🔁 0    💬 0    📌 0

Nari is a rockstar! Any social work school would be very lucky to have her as faculty!

28.11.2024 02:57 — 👍 8    🔁 1    💬 2    📌 0

As a lifelong blogger, I love writing about research, academia, and methods (including Stata and Python annotated codes). I am going to try sharing my new post here to build our #academicbluesky community here! Please repost if you find it useful. 🥰

28.11.2024 02:54 — 👍 10    🔁 1    💬 0    📌 0

Hi all🦋 I am a PhD candidate on the job market @nyusilver.bsky.social! My research focuses on mental health and access to care among immigrants/ethnic minorities, digital mental health, and computational methods. I hope to reconnect with folks on #academictwitter and make new connections here!

28.11.2024 02:51 — 👍 25    🔁 4    💬 4    📌 2

Web Scraping Basics for Social Work Researchers: Methods and Applications Understanding the use of API for data collection Many websites offer Application Programming Interfaces (APIs) that provide structured access to their data. Utilizing APIs is often more straightfor…

I've written a post on using web scraping 👩‍💻 for social work research. It covers tools, methods, examples, ethics, and learning resources for collecting data.

Please take a look if you are interested in computational approaches in social work research😊 #SWtech

nariyoo.com/web-scraping...

28.11.2024 02:38 — 👍 13    🔁 5    💬 1    📌 0

GitHub - asjadnaqvi/stata-geoboundary: A Stata package for administrative boundary data A Stata package for administrative boundary data. Contribute to asjadnaqvi/stata-geoboundary development by creating an account on GitHub.

🚀Launching the
@Stata
#geoboundary 🌎🌍🌏 package that allows users to pull #administrative ADM0-ADM5 (availability can vary) #boundaries for any #country, or for the whole #world. 🗺️

github.com/asjadnaqvi/s...
Up soon on SSC!

27.11.2024 10:41 — 👍 72    🔁 13    💬 7    📌 2

Thanks so much for doing this! Could you also add me? Thank you 😊

17.11.2024 21:40 — 👍 1    🔁 0    💬 1    📌 0

In case we do, I put together a social work academic Starter Pack. I’m sure I’ve unintentionally omitted folks who are already here, but I’ll keep updating.

18.10.2024 16:44 — 👍 37    🔁 23    💬 27    📌 5