CMU’s Psychology BS integrates cognitive neuroscience, computational modeling, and applied health research. Students analyze fMRI data in the CMU-Pitt Brain Imaging Center, design VR experiments on social presence, and translate findings into wellbeing apps with the Software Engineering Institute. A practicum places you in local schools or hospitals to implement evidence-based interventions under faculty supervision.
EEG study of attentional lapses during remote learning sessions
Machine-learning model predicting relapse in substance-use treatment from wearables
VR exposure therapy protocol for public-speaking anxiety using biometric feedback
Longitudinal survey on social media intensity and adolescent self-esteem
fNIRS investigation of collaborative problem-solving in STEM classrooms
Computational model of working-memory decay in multi-tasking contexts
Field study testing nudge-based cafeteria redesign for healthy choices
Meta-analysis of growth-mindset interventions across socioeconomic strata
Eye-tracking analysis of reading comprehension under variable font types
Design of chatbot delivering CBT micro-interventions via text
Resting-state connectivity correlates of chronic pain in older adults
Cross-cultural study on emotion labeling in multilingual speakers
Smartphone sensing app detecting sleep quality through activity patterns
Evaluation of mindfulness-VR hybrid training on stress biomarkers
Bayesian hierarchical modeling of individual differences in risk-taking
Interactive dashboard for clinicians visualizing depression-symptom networks
Robotic social companion pilot for children with ASD measuring engagement
Attrition-prediction algorithm for online mental-health programs
Study correlating air-pollution exposure with cognitive decline trajectories
Public outreach workshop on debunking neuromyths in education
Decode the brain and design interventions that improve lives with CMU Psychology.
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