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If we can measure the psychosocial impact of mental health challenges for college students, we can triage precious mental health resources through personalized measurement-based care, treatment matching, and a peer-support network. Thus, digitally derived measurement-based self-care, peer care, and clinician-delivered care can be deployed in a way that is meaningful to a student’s needs, preferences, and acceptability, and translated back for daily use and decision making. Indeed, if students can utilize a deeper understanding of behaviors to adopt or change, they can also make decisions about when to seek treatment. This ecological approach to the experience of students is advantageous not only for health promotion, but also better contextualizes symptoms to social determinants of health, early life stress exposure, adversity, and life events. While preliminary mental health digital applications and their uptake are encouraging, we have yet to tap the full potential of a more integrated approach to optimize mental health for all college students. Establishing the foundations of this path forward have never been more imperative.