This curriculum aims to prepare the next generation of experts with the training, tools, and knowledge required to understand complex issues in cognitive, social, behavioral, and economic sciences.
Such know-how is critical to properly define the methodology and instruments that allow extracting relevant information from cognitive, behavioral, social, and economic data, which require integrating mathematical, statistical, and machine learning tools into the data collection and analysis processes. Topics of interest include:
- Prediction of personality, preferences, and user behavior; digital marketing;
- Lie detection and the use of cognitive and behavioral data in security;
- Machine learning in psychology and neuroimaging applications;
- Human-computer interaction in data science and information visualization;
- Brain-Computer Interface technologies; affective computing;
- Wearable systems for human biodata acquisition and analysis;
- Neural networks and computational modeling of human cognition and behavior.
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