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Mental health challenges are on the rise among young adults, and we need more information about the college student experience. In Spring semester 2017 and again in Spring semester 2018 we followed college students at Carnegie Mellon University to better understand their experience. Throughout the semester our students wore Fitbits, provided sensor-based smartphone measures using the Aware app, completed short smartphone surveys in daily life using Ecological Momentary Assessment, and completed questionnaires. Our project provides one of the most in-depth assessments of the student experience ever conducted. Our team has also extended our multi-modal assessment approach to student samples at the University of Washington. Collectively our work aims to help understand and improve young adult mental health, resilience, and academic success. We thank the Carnegie Mellon University Task Force on the Student Experience and the Provost’s Office for their generous support and funding to conduct this work.

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Principal Investigator



Chikersal, P., Doryab, A., Tumminia, M., Villalba, D.K., Dutcher, J.M, Liu, X., Cohen, S., Creswell. K., Mankoff, J., Creswell., J.D., Goel, M., Dey., A. (under review). Identifying college students with depression using passive sensing.

Doryab, A., Villalba, D., Chikersal, P., Dutcher, J.M., Tumminia, M., Liu, X., Cohen, S., Creswell, K.G., Mankoff, J., Creswell, J.D., & Dey, A. (in press). Identifying behavioral phenotypes of loneliness and social isolation with passive sensing: a three-fold analysis. Journal of Medical Internet Research.

Xu, X., Chikersal, P., Doryab, A., Villalba, D.K., Dutcher, J.M., Tumminia, M.J., Althoff, T., Cohen, S., Creswell, K.G., Creswell, J.D., Mankoff, J., & Dey, A.K. (2019). Leveraging routine behavior and contextually-filtered features for depression detection among college students. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3, 116.

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