Thanks to @bbrfoundation.bsky.social for highlighting our lab's study (led by @hadarfisher.bsky.social & @nigeljaffe.bsky.social) using📱smartphone sensors + LLM-derived text ratings to track behavioral activation and symptom change in teens with anhedonia.
bbrfoundation.org/content/smar...

Now out in NPP – Digital Psychiatry and Neuroscience! 📱🧠

Can LLMs and smartphone sensing help us track therapy progress in real time?

📱EMA is increasingly used in intervention studies to acquire a more fine-grained and ecologically valid assessment of change. But EMA is relatively burdensome. What's the added value? We tried to address this question in our new paper now out @jmirpub.bsky.social www.jmir.org/2025/1/e69297 1/n

My correspondence on emotionally responsive AI is now published in Nature (!)
I’m thankful for the opportunity to share this little drop of thought. 🌱
👉 Read the full correspondence here: www.nature.com/articles/d41...

🚨New paper on emotion rigidity as a risk factor for future depression out in BRAT!
Thank you to @christianwebb.bsky.social @diegopizzagalli.bsky.social and the awesome teddylab team @nigeljaffe.bsky.social, KristinaPidvirny, and Anna Tierney 🙌

Free 50d access: authors.elsevier.com/a/1lRqe1KMdl...

Check out our thoughts on the growing use of passive sensing for digital phenotyping. In this commentary, we reflect on excellent work by @whitneyringwald.bsky.social et al., who use a large, clinically heterogeneous sample to examine assoc. bw passive sensing and domains of psychopathology.

📣 Curious about how to measure and work with emotions in therapy? Join us for the panel Emotional Processes in Psychotherapy: Breaking New Ground, today at 11:30 in Aula A (LB). New tools, task-based methods, and fresh data on emotional change. #SPRKrakow2025

Can we track therapeutic change outside the clinic?
In a new preprint, we explored whether digital tools - smartphone passive sensors📱 and LLM (GPT-4o) 🤖 - can track daily-life activation in adolescents with anhedonia receiving Behavioral Activation.

osf.io/preprints/ps...

🚨 Now out in Emotion! 🚨
📄 psycnet.apa.org/record/2026-...
Grateful to all collaborators 🙏

Here are some ways the world has gotten better.

1/7 Excited to share our new study "Using Natural Language Processing to Track Negative Emotions in the Daily Lives of Adolescents"! www.researchsquare.com/article/rs-6... We combine NLP and machine learning to monitor moment-to-moment mood changes in teens from their daily text.

New tutorial @ AMPPS on how to plan your sample sizes for item-response-theory studies.

journals.sagepub.com/doi/10.1177/...

@psychscience.bsky.social

www.nature.com/articles/s41...

Emotions are reactions to situations we encounter in daily life. In our new paper in Psych Review (psycnet.apa.org/fulltext/202...; with @oisinryan.bsky.social and @fdabl.bsky.social), we take a first step towards building a generative model for emotion dynamics based on this simple principle 1/4

Introducing PowerLMM.js!

A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests.

powerlmmjs.rpsychologist.com

Would really appreciate your feedback as I refine this app! Details below 🧵👇

🚨 New preprint alert! 🚨

Our latest study focuses on identifying adolescents at heightened risk of developing depression by examining how emotion regulation dynamics during this critical developmental period predict future symptoms. osf.io/preprints/ps...