Kadija Ferryman

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</div></div><div class="sqs-block html-block sqs-block-html" data-block-type="2" data-border-radii="{"topLeft":{"unit":"px","value":0.0},"topRight":{"unit":"px","value":0.0},"bottomLeft":{"unit":"px","value":0.0},"bottomRight":{"unit":"px","value":0.0}}" id="block-30d31d49c61335aa4c53"><div class="sqs-block-content"> <div class="sqs-html-content"> <p class="" style="white-space:pre-wrap;"><strong>Dr. Kadija Ferryman</strong> 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 <a href="https://datasociety.net/output/fairness-in-precision-medicine/">Fairness in Precision Medicine</a> research study, which examined the potential for bias and discrimination in predictive precision medicine. </p><p class="" style="white-space:pre-wrap;"><br>She earned a BA in Anthropology from Yale University, and a PhD in Anthropology from The New School for Social Research. She began her research career over 20 years ago as a policy researcher at the Urban Institute, where she studied how housing and neighborhoods impact well-being, specifically the effects of public housing redevelopment on children, families, and older adults. Dr. Ferryman is a member of the <a href="https://allofus.nih.gov/about/who-we-are/institutional-review-board-irb-all-us-research-program/kadija-ferryman-phd">Institutional Review Board for the All of Research Program</a>, a Nonresident Fellow at the Urban Institute, a member of Merck KGaA鈥檚 Digital Health Advisory Board, and an Affiliate at the <a href="https://criticalracedigitalstudies.com/">Center for Critical Race and Digital Studies</a>. She has published research in journals such as<em> Journal of the American Medical Informatics Association</em>, <em>Paediatric and Perinatal Epidemiology</em>, the <em>Journal of Health Care for the Poor and Underserved</em>, <em>European Journal of Human Genetics</em>, and <em>Genetics in Medicine</em>. Dr. Ferryman鈥檚 research has been featured in multiple publications including <a href="https://www.nature.com/articles/d41586-019-02872-2">Nature</a>, <a href="https://www.statnews.com/2019/07/24/fitbit-accuracy-dark-skin/">STAT</a>, and <a href="https://www.ft.com/content/bd88b9f2-e79f-11e8-8a85-04b8afea6ea3">The Financial Times</a>.</p> </div> </div></div></div></div></div> </div> </section> </div> </div> </div> <script type="text/javascript" defer src="https://static1.squarespace.com/static/ta/4f9adbe124ac5df956fdf900/869/scripts/combo/?site.js"></script> <svg xmlns="http://www.w3.org/2000/svg" version="1.1" style="display:none" data-usage="social-icons-svg"><symbol id="twitter-icon" viewBox="0 0 64 64"><path d="M48,22.1c-1.2,0.5-2.4,0.9-3.8,1c1.4-0.8,2.4-2.1,2.9-3.6c-1.3,0.8-2.7,1.3-4.2,1.6 C41.7,19.8,40,19,38.2,19c-3.6,0-6.6,2.9-6.6,6.6c0,0.5,0.1,1,0.2,1.5c-5.5-0.3-10.3-2.9-13.5-6.9c-0.6,1-0.9,2.1-0.9,3.3 c0,2.3,1.2,4.3,2.9,5.5c-1.1,0-2.1-0.3-3-0.8c0,0,0,0.1,0,0.1c0,3.2,2.3,5.8,5.3,6.4c-0.6,0.1-1.1,0.2-1.7,0.2c-0.4,0-0.8,0-1.2-0.1 c0.8,2.6,3.3,4.5,6.1,4.6c-2.2,1.8-5.1,2.8-8.2,2.8c-0.5,0-1.1,0-1.6-0.1c2.9,1.9,6.4,2.9,10.1,2.9c12.1,0,18.7-10,18.7-18.7 c0-0.3,0-0.6,0-0.8C46,24.5,47.1,23.4,48,22.1z"/></symbol><symbol id="twitter-mask" viewBox="0 0 64 64"><path d="M0,0v64h64V0H0z M44.7,25.5c0,0.3,0,0.6,0,0.8C44.7,35,38.1,45,26.1,45c-3.7,0-7.2-1.1-10.1-2.9 c0.5,0.1,1,0.1,1.6,0.1c3.1,0,5.9-1,8.2-2.8c-2.9-0.1-5.3-2-6.1-4.6c0.4,0.1,0.8,0.1,1.2,0.1c0.6,0,1.2-0.1,1.7-0.2 c-3-0.6-5.3-3.3-5.3-6.4c0,0,0-0.1,0-0.1c0.9,0.5,1.9,0.8,3,0.8c-1.8-1.2-2.9-3.2-2.9-5.5c0-1.2,0.3-2.3,0.9-3.3 c3.2,4,8.1,6.6,13.5,6.9c-0.1-0.5-0.2-1-0.2-1.5c0-3.6,2.9-6.6,6.6-6.6c1.9,0,3.6,0.8,4.8,2.1c1.5-0.3,2.9-0.8,4.2-1.6 c-0.5,1.5-1.5,2.8-2.9,3.6c1.3-0.2,2.6-0.5,3.8-1C47.1,23.4,46,24.5,44.7,25.5z"/></symbol><symbol id="twitter-icon" viewBox="0 0 64 64"><path d="M48,22.1c-1.2,0.5-2.4,0.9-3.8,1c1.4-0.8,2.4-2.1,2.9-3.6c-1.3,0.8-2.7,1.3-4.2,1.6 C41.7,19.8,40,19,38.2,19c-3.6,0-6.6,2.9-6.6,6.6c0,0.5,0.1,1,0.2,1.5c-5.5-0.3-10.3-2.9-13.5-6.9c-0.6,1-0.9,2.1-0.9,3.3 c0,2.3,1.2,4.3,2.9,5.5c-1.1,0-2.1-0.3-3-0.8c0,0,0,0.1,0,0.1c0,3.2,2.3,5.8,5.3,6.4c-0.6,0.1-1.1,0.2-1.7,0.2c-0.4,0-0.8,0-1.2-0.1 c0.8,2.6,3.3,4.5,6.1,4.6c-2.2,1.8-5.1,2.8-8.2,2.8c-0.5,0-1.1,0-1.6-0.1c2.9,1.9,6.4,2.9,10.1,2.9c12.1,0,18.7-10,18.7-18.7 c0-0.3,0-0.6,0-0.8C46,24.5,47.1,23.4,48,22.1z"/></symbol><symbol id="twitter-mask" viewBox="0 0 64 64"><path d="M0,0v64h64V0H0z M44.7,25.5c0,0.3,0,0.6,0,0.8C44.7,35,38.1,45,26.1,45c-3.7,0-7.2-1.1-10.1-2.9 c0.5,0.1,1,0.1,1.6,0.1c3.1,0,5.9-1,8.2-2.8c-2.9-0.1-5.3-2-6.1-4.6c0.4,0.1,0.8,0.1,1.2,0.1c0.6,0,1.2-0.1,1.7-0.2 c-3-0.6-5.3-3.3-5.3-6.4c0,0,0-0.1,0-0.1c0.9,0.5,1.9,0.8,3,0.8c-1.8-1.2-2.9-3.2-2.9-5.5c0-1.2,0.3-2.3,0.9-3.3 c3.2,4,8.1,6.6,13.5,6.9c-0.1-0.5-0.2-1-0.2-1.5c0-3.6,2.9-6.6,6.6-6.6c1.9,0,3.6,0.8,4.8,2.1c1.5-0.3,2.9-0.8,4.2-1.6 c-0.5,1.5-1.5,2.8-2.9,3.6c1.3-0.2,2.6-0.5,3.8-1C47.1,23.4,46,24.5,44.7,25.5z"/></symbol></svg> </body> </html>

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