Authorities, from parents of toddlers to leaders of formal institutions, use punishment to communicate disapproval and enforce social norms. Ideall...

YouTube video by Simons Foundation

The Scalable, Accessible Treatments for Eating Disorders and Related Psychopathology (SATED) research team at Dartmouth College is pleased to invite applications to join our exciting and supportive re...

People often receive rewards for good performance, but what happens when rewards do not reflect ability? Two behavioral studies suggest that rewards can impact how we evaluate our own ability, above and beyond the impact of actual performance.

Tuesday, 07 October 2025,  4.15 pm CET, Hybrid: HSG–ITEM A 24-0-216 or ZOOM  About Nadja Ging-Jehli Dr. Nadja Ging-Jehli is a neuroscientist and economist studying how people and machines adapt in u...

UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

A core strength of computational psychiatry is its focus on theory-driven research, in which cognitive processes are precisely quantified using computational models that formalize specific theoretical mechanisms. However, the data used in these studies often come from traditional laboratory-based cognitive tasks, which have unclear ecological validity. In this review we propose that the same theoretical frameworks and computational models can be applied to real-world data such as experience sampling, passive data, and digital-behavior data (e.g., online activity such as on social media). In turn, modeling real-world data can benefit from a theory-driven computational approach to move from purely predictive to explanatory power. We illustrate these points using emerging studies and discuss the challenges and opportunities of using real-world data in computational psychiatry.

Generalised anxiety disorder (GAD) is one of the most common mental health problems, but the mechanisms underpinning its symptoms remain poorly understood, limiting the development of novel interventi...

Interactions between metabolic interoception and regulation may drive comorbidity between mental and metabolic ill-health.