Health Data Informatics & Equity
The broad availability of health data and the computational and technological tools increasingly being used (such as machine learning and AI strategies) make it even more important than ever that we have faculty at the forefront of the careful and thoughtful use of data to improve health and reduce health disparities. Use of data without attention to data provenance and quality, or to the risks of algorithmic bias, may exacerbate inequities rather than working to reduce them. We need researchers who can develop and apply informatics and biostatistical approaches to best harness the data and technological tools available to improve health. Doing so, and fully understanding the strengths and weaknesses of data requires engagement from a variety of perspectives and backgrounds. However, the fields of Biostatistics and Biomedical Informatics lack such diversity. This cluster will bring leading researchers in health data informatics and equity to the University, bringing important expertise and perspectives, diversifying the faculty, and building on existing strengths. It will also build on existing strengths and provide a central home for this work at the University, setting JHU up as a leading University in this area, facilitating further recruitment of top talent, research, and impact.
Cluster Leads | Elizabeth Stuart, Paul Nagy