Interdisciplinary Health Disparities and Data Science Training (IHSAN)

The Interdisciplinary Health disparities and data Science training (IHSAN) is a program designed to equip researchers, healthcare professionals, and data scientists with the skills to address health disparities through data-driven approaches. This program integrates principles from public health, epidemiology, biostatistics, and artificial intelligence (AI) to analyze and mitigate disparities in healthcare access, outcomes, and policy.

Technical Introduction to Data Science and Health Disparities Seminar

This learning research community is a 10-week series of technical lectures and workshops to introduce health disparity researchers to data science through practical, hands-on training. Lectures will introduce fundamental principles and techniques of data science in order to extract useful information and knowledge from data. In parallel to lectures, workshop participants will also learn how to explore data, define cohorts and build participant-level datasets using the All of Us Researcher Workbench. Participants will also learn how to write reproducible and modular code with R, including programming best practices.

A cross-sectional survey study examining the integration of health disparities content into health informatics courses reported that 24 unique courses were taught at 16 different academic institutions across various regions of the United States.

No applicant link at this time, selection process has already been completed **

Training the Trainers: Building Institutional Data Science Capacity to Support Health Disparities Research

Grant number: 3U54MD007602-37S1

Description: One area where biomedical data science has the real potential to address health disparities is in genomics/multiomics research which has ushered in a new era of precision medicine and personalized healthcare. The Morehouse School of Medicine (MSM) U54 Center for Translational Research in Health Disparities (CTRHD) is uniquely positioned to leverage genomics/multi-omics to address health disparities as well as training biomedical data scientists from groups underrepresented in the biomedical sciences. We propose a continued collaboration between the MSM and the Florida International University RCMI centers to develop curriculum and a train the trainers program with the goal of upskilling junior investigators in data science best practices and technologies, developing a new cadre of biomedical data scientists to support translational projects and enhance informatics

Number of Participants in training (Spring 2025): 200+ Applicants, 47 invitations sent and 21 participants confirmed.

Program Leadership: Drs. Idris, Odom, and Wang.

If you want to participate in the next cohort, please reach out to us via the QR code below.

National Teaching Fellow in Data Science

Institutions which have participated – Florida International University, Morehouse School of Medicine, University of Texas at El Paso, Texas Southern University, University of Hawaii, Jackson State University, Meharry Medical College.

Current trainers who have gone through the program and will be conducted their own trainings now:

Tolulope Adeyina, Rahman Chowdhury, Illyas Noon, Zitong Gao, Scott Widmann, Natalie Goulett, Tanvir Hasan, Patrice Lewis, Said Saleh, Sungbum Hong, Tarana Ferdoust, William Agyapong, Tendai Gwanzura, Garam A. Lee, Ali Aslam

If you want to participate in the next cohort, please reach out to us via the QR code below.

This program is generously supported by:

U24MD015970-02, U24MD015970-03, 3U54MD007602-37