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Study on Experiences & Emotional Development (SEED)
SEED is a longitudinal study examining predictors of adolescent emotional health. For this project, we are examining multilevel predictors of emotional well-being (including interpersonal processes, implicit cognitions, reward processing, environmental stress assessed using gold-standard interviews, neuroendocrine functioning, and genetic risk, among other variables) in a sample of 14-17 year-olds and their parents, recruited from the Rochester community. Participants were assessed using interviews, questionnaires, computer-based lab paradigms, biological samples, and ecological momentary assessment. Participants were invited to complete an 18-month follow-up. We recently received funding for a third wave of data collection, which we are currently conducting.  If you are interested in learning more about this project, or if you or your child are participants and need study-related information, see our website.  SEED is closed for recruitment.

Sleep Habits and Emotional Experiences Project (SHEEP) (Y. Irina Li, P.I.)
SHEEP examines the interplay between reward processing, actigraph-assessed sleep parameters, and well-being in college students. SHEEP is funded by an F31 National Research Service Award awarded to Y. Irina Li by the National Institute of Mental Health.

Hassles & Uplifts in Daily Life
This project examined predictors of affective responses to naturalistically occurring hassles and uplifts in an undergraduate sample over-selected for depressive symptoms. Daily experiences and mood were sampled using two temporally overlapping techniques: ecological momentary assessment (using telephone-based surveys administered at semi-random intervals) and end-of-the-day daily diary. HUDL data collection was completed in 2014. We conducted this study in collaboration with Dr. Rachel Hershenberg (formerly Philadelphia VA and University of Pennsylvania School of Medicine, currently Emory University Department of Psychiatry), who simultaneously conducted a similar study in a veteran sample.