Shashanka Subrahmanya

PhD student at @StanfordPsych. Previously @CSatUSC. Practices NLProc, Psychology. From ಮಂಗಳೂರು, ಭಾರತ 🇮🇳

[Shashanka Subrahmanya @digitalyonko]

We highlight how computational methods using large-scale language data and open-source tools like DLATK can scale well-being measurement to entire populations. (5/5)

Thanks to the amazing team of @JonasP_Schoene Tiffany Hsu @SalGiorgi @HAndySchwartz @JEichstaedt 🙏

[Shashanka Subrahmanya @digitalyonko]

🎉 Excited to share my first preprint as first-author!

We show that population well-being estimation from social media language outperforms surveys and traditional proxies like household income.

Link - https://t.co/InAhSIy8We

(1/5) 🧵👇

[Shashanka Subrahmanya @digitalyonko]

🤖 Our Big Data (1.53B tweets from 5.25M users and 1.9M Gallup responses) analysis pipeline was powered by the Differential Language Analysis ToolKit. Underscoring our commitment to reproducibility, we release our code/artifacts on OSF soon - https://t.co/UltpTbDzTO

(4/5)

[Stanford Computational Psychology & Well-Being Lab @StanfordWBLab]

We're looking for a part-time front-end developer to join our lab! In this role, you'll work on AI-based mental health web applications and get training in NLP methods.

Click on the link below to learn more and apply!
https://t.co/cjW0CBP1Ct

[Sharath Chandra Guntuku @sharathguntuku]

We are looking for someone to start in the Summer / Fall '25! Please send us your applications by March 7 for full consideration.

[Chris Kelly @chris_a_kelly]

Check out this fantastic commentary on our article (https://t.co/4vsy0lqWMC) by @ALCamerini, published today in @NatureHumBehav

🔗 https://t.co/D3muVM7dsC

[Chris Kelly @chris_a_kelly]

Excited to share our new article w/@affectivebrain in @NatureHumBehav.

Key finding: consuming more negative content online is tied to poorer mental health—and vice versa. 💻🧠

Article link: https://t.co/OZ8W42exq0

🧵 Read on for more insights from the study

[Stanford Computational Psychology & Well-Being Lab @StanfordWBLab]

We're so proud of our postdoc @JonasP_Schoene for his presentation at the Psychology of Technology Conference in Boston last weekend! It was incredible to see industry, policy, and research minds come together to shape the future of tech and human psychology. 🧠#PsychTech2024

[Stanford Computational Psychology & Well-Being Lab @StanfordWBLab]

Our Lab is looking to hire 2 new members!

We are searching for an enthusiastic data scientist and project coordinator. This role will include training in key psychological natural language processing methods and is an excellent stepping stone for pursuing graduate studies!

[Shashanka Subrahmanya @digitalyonko]

@MumukshuSavitri @pintsofjoy has great Indian ice cream options (including Meetha Paan), ma'am. They deliver home as well.

[H. Andrew Schwartz @HAndySchwartz]

https://t.co/JeSelgieoi
Putting together a decade of learnings on getting more accurate regional well-being assessments from social media into a single pipeline! Lead by @lemon_n_limes with @sal_giorgi @JEichstaedt @WWBProject

[npj Digital Medicine @npjDigitalMed]

Using #socialmedia data can give us more detailed & accurate info about people's #mentalhealth compared to traditional surveys. The authors were able to estimate levels of depression & anxiety down to specific areas & weeks.

https://t.co/Gfzo6dSLoI

[World Well-Being Prj @WWBProject]

big news from
@HAndySchwartz
and the
@WWBProject
team: DLATK- a premier language analysis tool for social sciences and beyond - now available in an open and easy to use format!
Work led by
@digitalyonko w/ @sal_giorgi @adigan8 @JEichstaedt
See 🧵:

[johannes Eichstaedt @JEichstaedt]

I'm giving a talk tomorrow at Columbia-- Public Health (Thur 2/29, 1-2.30pm) -- NLP and LLMs for mental health.

“Using Digital Text and LLMs to Understand and Improve Individual and Community Mental Health”

If you happen to be around and free, please join!

https://t.co/uB8dt0mIcO

[H. Andrew Schwartz @HAndySchwartz]

🚨 Announcement:
DLATK is now available as a colab notebook!
https://t.co/RtDdGRp9Je
DLATK is a suite for end-to-end human language analysis, used in 100+ AI/NLP/Psych papers. This was lead by @digitalyonko, joint with @sal_giorgi, @adigan8, @JEichstaedt, and @WWBProject 🧵1/4

[Stanford Computational Psychology & Well-Being Lab @StanfordWBLab]

Check out this Vox (@voxdotcom) article featuring one of CPWB’s postdocs @betsy_stade discussing AI and mental health outcomes in therapy, what to consider when integrating chatbots into therapy, and the importance of access to mental health care. https://t.co/9kI7NUQiHM

[Sharath Chandra Guntuku @sharathguntuku]

‼️🚨 Postdoc Opportunity at @CIS_Penn 🚨‼️
Please RT 🙏

🎓 Are you interested in:
-- NLP & ML x health behaviors
-- studying heterogeneity
-- translational research

Apply here: https://t.co/lBhMt8noLZ

#DataScience #PostdocJobs #AcademicTwitter
@WWBProject @PennMedCDH

[Shashanka Subrahmanya @digitalyonko]

@divyayyy Totally! That said, I feel it (I use a MacBook Air M1) can be more efficient with resource usage and organization. I use https://t.co/0l21jH3VrY to do this for my research.