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USC Chan Division of Occupational Science and Occupational Therapy
USC Chan Division of Occupational Science and Occupational Therapy
University of Southern California
University of Southern California
Research
Research
HomeResearchActive ProjectsData Science and Analytics for Precision Rehabilitation (DAPR) Center

Data Science and Analytics for Precision Rehabilitation (DAPR) Center

ReHaB Core ⟩

Principal Investigator: Sook-Lei Liew PhD, OTR/L, FAOTA

Period
Sep 2025 – Aug 2030

Total funding
$6,508,739

The goal of the Data Science and Analytics for Precision Rehabilitation (DAPR) Center is to improve the rigor of medical rehabilitation research by leveraging data science, artificial intelligence (AI), and machine learning (ML) to generate large, harmonized rehabilitation datasets for personalized, precision rehabilitation. We will accomplish this by introducing comprehensive, standardized ways in which researchers can store and manage their data (i.e., data schemas), which will make it easier to combine data across studies; we will encourage community uptake of DAPR data schemas, as well as general data science and AI/ML approaches to research, through the provision of user-friendly tools to harmonize data, accessible educational resources, hands-on consulting, and engaging events. Throughout all aspects of our research and Center activities, we will prioritize the needs and perspectives of people with lived experiences (PWLE) of disability, to ultimately advance the field of precision rehabilitation to improve the health and quality of life of people with physical disabilities.

Funding

Type Source Number Amount Period
Federal NIH National Institute for Child Health and Human Development (NIH/NICHD) 1P50HD118603-01 $6,508,739 Sep 2025 – Aug 2030

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