BERD Seminar: Advancing Equitable Data Science at Duke and Beyond
Duke AI Health is focused on developing, evaluating, and implementing data science and artificial intelligence applications for health and healthcare at Duke, which strives to promote ethical and equitable data science. In this presentation, I will: - Define equitable data science - Review my role as the inaugural AI Health Equity Scholar in achieving equitable - Present a short case study to illustrate challenges in applying equitable data science in the healthcare domain.
This event is hosted by Duke and being cross-promoted by the NC BERD Consortium, a collaboration of the CTSA-funded BERD cores at UNC-Chapel Hill, Wake Forest University School of Medicine, and Duke University School of Medicine.
Type: LECTURE/TALK and PANEL/SEMINAR/COLLOQUIUM
Contact: BERD Methods Core