APS
2026 APS Annual Convention
Advancing Clinical Science through Computational Modeling of Psychopathology
Computational modeling formalizes verbal theories of psychopathology into testable mathematical frameworks. This symposium presents four applications: validating a suicidal ideation model through synthetic data, measuring latent self-schemas in depression, estimating person-specific mechanisms via simulation-based inference, and reconceptualizing emotion dysregulation through physiological gain dynamics, potentially advancing precision mental health interventions.
Chairs & Discussants
- Aaron FisherChair
University of California, Berkeley
Presentations
- Computational Phenotyping of Psychopathology: Leveraging Formal Theories and Simulation-Based Inference to Assess the Mechanisms Underlying Mental Health Donald Robinaugh
- Assessing Explanatory Power of the General Escape Theory of SuicideSharina Hamm
- Inferring Latent Self-Schemas Via Sequential Sampling ModelsPeter Hitchcock
- A Computational Model of Emotion Dysregulation: Implications of Appraisal-Arousal Feedback and Physiological GainAaron Fisher
