Carnegie Mellon University

Life@CMU Project: A Study on Student Health and Wellness

April 17, 5:30 p.m. - 7:00 p.m.
Simmons Auditorium, Tepper Building

Join the campus community to learn more about the Life@CMU research project. This ongoing project conducts an in-depth examination of the CMU student experience. The goal of this research is to gather data on the prevalence of factors such as:

  • stress culture
  • depression
  • health behaviors (sleep, substance abuse)
  • resilence and well-being

You will also have an opportunity to ask questions of university leadership and health and wellness experts from Counseling and Psychological Services (CaPS), Student AffairsUniversity Health Services (UHS) and learn more more about student-focused wellness initiatives and resources offered on campus.

5:30 p.m. - Life@CMU Study Overview
6:10 p.m. - Open Q&A session

Light refreshments will be served.

Why is this study being collected?

While Carnegie Mellon University offers unparalleled opportunities to learn, innovate and grow, many students report that CMU has a culture that impairs well-being and creates roadblocks to success. 

How is this data collected?

The Life@CMU project includes smart technology used by our very own students to answer basic questions about their experience at CMU, improve our understanding of factors related to the health and success of CMU students, identify potential interventions and support practical change toward overall wellness. 

What kind of smart technology is used?

We use the AWARE experience sampling smartphone app. Similar to a FitBit, this app, with the students' permission, collects geolocation, sleep and activity patterns. This data then generates assessments of our students' daily life at Carnegie Mellon as they study, work and live on campus.

Who is leading this session?

David Creswell, Associate Professor of Psychology will share the findings of the study so far.  He will also answer questions around the mental health and wellness experiences of our CMU students with the help of CMU-specific data.