Developmental Systems

Individuals change over time, often in complex ways. The scientific study of time-dependent changes (maturation, learning, development) requires the use of special repeated measurement designs as well as the application of advanced dynamic systems modeling techniques. Results obtained in this way can be used to better understand and optimally guide psychological change within individual subjects and at the population level. In the Developmental Systems Group (DSG) graduate students and faculty of HDFS apply modern dynamic systems modeling theories and techniques to the study of a broad variety of developmental processes, including brain development and aging, health and daily stress, infant-parent sleep-wake patterns and infant-parent outcomes, early mother-infant interaction, patient-specific treatment of disease processes such as diabetes type I, asthma and clinical psychological syndromes, personality development, etc. Other prominent research institutes in the US and Europe focusing on developmental systems modeling also participate in the DSG, thus providing many opportunities for new interdisciplinary teaching and research initiatives.

HDFS Faculty participating in the Developmental Systems Group:

David Almeida

Sy-Miin Chow

Eric Loken

Jennifer Maggs

Peter C.M. Molenaar

Nilam Ram

Michael Rovine

Douglas Teti