Dr. Kadija Ferryman is an anthropologist who studies race, ethics, and policy in health technology. Specifically, her research examines how clinical racial correction/norming, algorithmic risk scoring, and disease prediction in genomics, digital medical records, and artificial intelligence technologies affect racial health inequities. She is currently Core Faculty at the Johns Hopkins Berman Institute of Bioethics and Assistant Professor in the Department of Health Policy and Management at the Bloomberg School of Public Health at Johns Hopkins University. She completed postdoctoral training at the Data & Society Research Institute in New York, where she led the Fairness in Precision Medicine research study, which examined the potential for bias and discrimination in predictive precision medicine. She earned a BA in Anthropology from Yale University, and a PhD in Anthropology from The New School for Social Research.
Kadija Ferryman
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PointsIncreasingly, technology's impact on infrastructure is becoming a health concern. In this Points piece, Data & Society Researchers Mikaela Pitcan, Alex Rosenblat, Mary Madden, and Kadija Ferryman tease out why this intersec... Read on PointsSeptember 2018 -
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PointsAfter the Cambridge Analytica scandal, can internet data be used ethically for research? Data & Society Postdoctoral Scholar Kadija Ferryman and Elaine O. Nsoesie, PhD from the Institute for Health Metrics and Evaluation re... Read on PointsApril 2018 -
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PointsAs data becomes more prevalent in the health world, Data & Society Postdoctoral Scholar Kadija Ferryman urges us to consider how we will regulate its collection and usage. "As precision medicine rushes on in the US, how ... Read on PointsFebruary 2018