Research Training in Women's Health and Intersectionality Using Data Science and Health Information Technology (WISDOM)

Emory University, Atlanta GA

Investigators

Abstract

Enter the text here that is the new abstract information for your application. This section must be no longer than 30 lines of text. Revised WISDOM T32 Grant Sections PROJECT SUMMARY/ABSTRACT (Revised) The purpose of this T32 program is to prepare nurse scientists who have knowledge and skills to employ data science (DS) and/or health information technologies (HIT) in order to advance health research using innovative methodological approaches. This training will build on the strengths of the Emory University Nell Hodgson Woodruff School of Nursing's currently funded research studies, faculty expertise, and supporting infrastructure. It will address health research questions with a methodological focus on DS and HIT applications. Trainees will develop knowledge and skills in interdisciplinary research methods, understand and apply DS and/or HIT methodologies, and develop and test interventions using these innovative approaches in health research. The program comprises: 1) specific courses related to DS and HIT methodologies; 2) electives to individualize training, develop an area of specialization, and facilitate trainees in interdisciplinary courses; 3) biweekly T32 seminars to foster trainees' integration of course content with other program experiences; 4) 15 hours a week of work on faculty research over several semesters; 5) at least one semester of individualized research practicum with center internships; and 6) participation in an interdisciplinary center on campus that relates to the trainee's research area. Fifteen nurse scientists will be trained over 5 years. The program will engage 17 mentors and 6 interdisciplinary co-mentors. Over 10 research centers/institutes/departments have agreed to collaborate, making this a fully interdisciplinary training program focused on advancing methodological expertise in nursing science through innovative data science and health information technology approaches.