We have reached a situation where (1) the time/resources spent by people applying for grant X often outweighs (2) the time/resources awarded.
For these grants, society loses net time/resources.
www.nature.com/articles/d41...
Job Alert!!🚨 Please, please spread the word and repost!!
Where: Applied Psychology, Northeastern
What: Full-time, clinical professor (open rank) teaching clinical courses and involved in supervision
Who: Earned PhD in clinical/counseling psych.
Why: We are a fun group!!
🚨 THRILLED to share Northeastern University is hiring a new Director for our human Siemens Prisma 3T MRI Center (Associate or Full Professor levels) who will join us as faculty in our Institute for Cognitive and Brain Health! Please share widely!
northeastern.wd1.myworkdayjobs.com/careers/job/...
Congratulations!!! Excellent work!!
What a fun Hack-a-thon!
Just re-sharing this! Great opportunity for a faculty position in Applied Psychology @northeasternu.bsky.social
Thank you! The participants loved it. What a valuable resource! I’d love to contribute data at some point.
Incredible, and just in time for our launch of the Boston precision brain & mental health hack tomorrow @northeasternu.bsky.social ! We will be introducing this resource there—excited to see what comes of it
Yay!! Thank you!
🚨Job Alert!! Please share widely!!🚨
Where: Applied Psychology, Northeastern University
What: Clinical Professor (open rank), as new program director for our Master of Science in Counseling Psychology
Why: We are a fun department 🎉 Please apply!!
We had the opportunity to chat with @nuglobalnews.bsky.social about our latest meta-analysis examining how well #ML / #AI predicts mental health outcomes.
Some promising advances (as the title suggests), but we must also proceed with caution 👇
#psychscisky
news.northeastern.edu/2025/09/17/n...
As we look towards the future of ML in mental health research, we hope this paper provides a basic, birds-eye view of existing findings in the literature. 📖🔭
4/4
That being said, several limitations affect our current use of ML for predicting treatment response that would benefit from consideration in future studies (small sample sizes, class imbalances in response outcomes, lack of simple baseline algorithms for benchmarking, etc.).
3/4
Interestingly, ML does a decent job of predicting treatment response (AUC=0.80 & Accuracy=0.76). Studies using biological features (e.g., fMRI) and robust cross-validation strategies reported better predictive performance.
2/4
Paper alert for people interested in machine learning for #mentalhealth 📣
We’ve put together a new meta-analysis examining how well we can predict treatment response for emotional disorders, now out in Clinical Psych Review 🎉
www.sciencedirect.com/science/arti...
1/4
Yay!!! Celebration time!
