Finally, we explore opportunities:
👍 Testing the generalizability of in-lab computational psychiatry findings to every-day life
👍 Incorporating linguistic behavior into cognitive models using LLMs (see figure)

We also provide a (non-exhaustive) taxonomy of cognitive processes paired with modeling frameworks and types of real-world data that could be used to probe them:

We review recent studies that probe cognition using real-world behavior, primarily in a reinforcement learning framework.

Some of these have uncovered novel links to mental health (e.g. linking depression to blunted reactivity to positive prediction errors, or higher sensitivity to social rewards)

🚨Out now in @cp-trendscognsci.bsky.social 🚨

We explore the use of cognitive theories/models with real-world data for understanding mental health.

We review emerging studies and discuss challenges and opportunities of this approach.

With @yaelniv.bsky.social and @eriknook.bsky.social

Thread ⬇️

At #RLDM2025? Come to our workshop on real-world RL tomorrow! Including:
- amazing line-up: @bjornlindstrom.bsky.social, Aaron Heller, Sugandha Sharma, @arossotto.bsky.social + flash talks
- panel debate (chair: @yaelniv.bsky.social)
- group brainstorming session!

Mailing list: tinyurl.com/rlinwild

🚨 Workshop alert 🚨

If you're interested in RL and real-world data, come to our workshop @rldmdublin2025.bsky.social!

Including cool talks, a panel debate, and a group brainstorming activity.

sites.google.com/view/rlinthe...