Convergence is best approached through a systems science lens because it includes multiple levels of influence and organization and a host of mutually reinforcing elements. Each of these factors requires behavioral and social science research to ensure that convergence is appropriately anchored in the experience of patients and their communities. For example, the continuous assessment of mental state made possible through real-time mobile app recording of voice, movement, and biosignatures will be much less effective if people reject it because of privacy concerns or if this monitoring is not adequately linked to choices for self-care. Patients may need in-person contact with a therapist to choose an appropriate app and in-person boosters to support effective use. Use of the app and its effectiveness accordingly depend on social-behavioral factors. Likewise, the social and behavioral sciences are central for shortening the time between development and translation of mental health treatments and programs. Including the social and behavioral sciences in mental health convergence science suggests the need for broad-scale efforts that link mental health to population science to systems thinking. This effort places mental health within the broader framework of population health and to implementation science for reducing the time from development of a new treatment to its widespread use. The approach has implications for data collection and analysis in that it entails much larger datasets and need for greater computational power.