About:

While resilient individuals tend to cope well with life’s challenges and meet expectations, others may struggle. Our basic and applied research aims to explore individual differences in adaptation and to identify the factors that drive these differences. We adopt an interdisciplinary approach that integrates data science technologies with advanced pedagogical and psychological tools. We believe that naturally occurring behavior holds the key to understanding the core elements of adaptation. 

Examples of past and ongoing projects include:

• Real-time Sociometry: Sensor data from children’s movements during group play reveals patterns in how social groups form and interact.

• Emotion Regulation: Psychophysiological markers highlight individual differences in managing emotions. Emotional arousal biofeedback, incorporated into personalized cognitive-behavioral training, helps reduce stress and promote resilience.

• Smart Play: Free play activities in smart environments uncover variations in skill development and provide opportunities to strengthen resilience.