Admission to the mHealth Training Institute (mHTI) is highly competitive. Each year, up to 25 scholars are selected from a national and international applicant pool for an intensive, team-based training experience
2027 In-person Institute dates: June 20 - 24, 2027
Applicants must hold a doctoral level degree (PhD, ScD, MD, DDS, DVM, etc.), or equivalent, in a field relevant to mobile and digital health, including:
Priority is given to academic investigators at the junior, mid-career, or senior level who seek to expand their mHealth research and develop rigorous, innovative, and high-impact programs of research.
U.S. citizenship or permanent residency is not required.
Accepted scholars are expected to:
Applicants should review the current program schedule before applying and confirm that they can participate fully throughout the Institute..
There are no registration or tuition fees to participate in the mHTI.
The four-day in-person session at the UCLA Luskin Conference Center and Hotel is substantially supported by the mHTI to ensure broad access to the program. Scholars are responsible for arranging and paying for their travel to and from Los Angeles.
Additional information regarding lodging, program support, and any scholar cost-sharing arrangements for the 2027 Institute will be provided to accepted scholars.
Deadline to submit applications: Friday, January 15, 2027 11:59 PM, Eastern Time
Notifications of acceptance will be sent by March 9, 2027.
Every mHealth app, notification, and default setting is a choice environment—and most designers get it wrong. They treat users as passive targets of behavioral nudges, missing a critical insight: people actively interpret design choices, infer what those choices signal about expectations, and sometimes resist accordingly. In this opening lecture, Craig Fox introduces Choice Architecture 2.0, a framework that reconceptualizes mHealth design as an implicit conversation between intervention and user. Drawing on landmark trials that reshaped antibiotic prescribing, opioid safety, and vaccination uptake across hundreds of thousands of patients, Fox reveals when nudges work, when they backfire, and why anticipating user interpretation is the difference between interventions that stick and those that fail. Scholars will leave with a design lens they can apply to every session that follows—and carry directly into their capstone projects.
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mHealth Center for Discovery, Optimization &
Translation of Temporally-Precise Interventions
University of Memphis
Website sponsored by the mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions (mDOT).
mDOT is supported by the National Institutes of Health’s National Institute of Biomedical Imaging and Bioengineering through its Biomedical Technology Resource Centers Program.
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