NIH/UCLA mHealth Summer Training Institute - application Deadline 5/24/13

 
Please see the training opportunity below. 


NIH/UCLA mHealth Summer Training Institute - application Deadline 5/24/13

DEADLINE TO SUBMIT APPLICATIONS: 11:59PM. EASTERN TIME, FRIDAY, MAY 24, 2013

http://obssr.od.nih.gov/training_and_education/mhealth/mHealth_2013.aspx?etoc

Using mobile technologies to more rapidly and accurately assess and modify behavior, biological states and contextual variables has great potential to transform medical research. Recent advances in mobile technologies and the ubiquitous nature of these technologies in daily life (e.g., smart phones, sensors) have created opportunities for research applications that were not previously possible (e.g., simultaneously assessing behavioral, physiological, and psychological states in the real world and in real-time). The use of mobile technology affords numerous methodological advantages over traditional methods, including reduced memory bias, the ability to capture time-intensive longitudinal data, date- and time-stamped data, and the potential for personalizing information in real-time. However, challenges in mobile health (or mHealth) research exist. Importantly, much of the work being done in mHealth arises from single disciplines without integration of the behavioral, social sciences and clinical research fields. Without integration, mobile technologies will not be maximally effective. The NIH-UCLA mHealth Summer Institute addresses the scientific silos by bring together scientists from diverse fields to enhance the quality of mHealth research.

OBSSR and many NIH Institutes, Centers and Federal partners will host a Training Institute in conjunction with the University of California– Los Angeles. The training curriculum will cover the current state of the science in mobile technology and engineering, behavior change theory and clinical applications, and highlight the intersection among these areas for research related to health. Participants will take part in daily didactic sessions will target the major cross-cutting research issues and take part in small, mentored, interdisciplinary teams to develop potential mHealth research projects. Participants should expect to leave the Institute with experience creating mHealth projects in an interdisciplinary setting.