Duke Symposium on Fostering AI/ML Research for Health Equity and Learning Transformation (FAIR HEALTH™)

Start Date
March 13, 2024
12:00 am
End Date
March 14, 2024
12:00 am
None

Event sponsored by:

AI Health
+DataScience (+DS)
Biostatistics and Bioinformatics
Center for Computational Thinking
Computer Science
CTSI CREDO
Duke Clinical and Translational Science Award (CTSA)
Duke Clinical and Translational Science Institute (CTSI)
Electrical and Computer Engineering (ECE)
Pratt School of Engineering
School of Nursing (SON)

Contact:

AI Health

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Speaker:

Michael Cary, PhD, RN., Lisa S. Lehmann, PhD, MD., Maia Hightower, MD, MPH, MBA.

We are thrilled to invite you to our upcoming symposium, Fostering AI/ML Research for Health Equity and Learning Transformation (FAIR HEALTH™), scheduled for March 13-14, 2024, at the Duke University School of Nursing in Durham, NC.

This two-day event is dedicated to advancing discussions on cutting-edge research and practices aimed at promoting equity and fairness in algorithmic systems.

Event Highlights:
Presentations: Thought-provoking content featuring experts from healthcare, ethics, education, policy, all sharing insights on the challenges and opportunities in achieving algorithmic equity.

Interactive Breakout Sessions: Participate in breakouts designed to facilitate discussions on the problems and gaps, but more importantly the proposed solutions for implementing fairness and equity in algorithmic processes.

Networking Opportunities: Connect with industry professionals, researchers, clinicians, and students passionate about the intersection of healthcare, technology, ethics, and fairness.

Event Details:
Day 1:
Wednesday, March 13 from 10:00 AM - 5:00 PM (Eastern time)

Day 2: Thursday, March 14 from 9:00 AM - 12:00 PM (Eastern time)

Location: Duke University School of Nursing, Christine Siegler Pearson Building at 307 Trent Drive, Durham, NC 27710

Event Leadership: The FAIR HEALTH™ Symposium is convened by Michael Cary, PhD, RN.
Dr. Cary is an Associate Professor with tenure and Elizabeth C. Clipp Term Chair of Nursing in the Duke University School of Nursing. Dually trained as a health services researcher and applied data scientist, Dr. Cary uses AI and machine learning to study health disparities related to aging and develop strategies to advance health equity and improve healthcare delivery to older adults in diverse populations. His research has been supported by the National Library of Medicine, National Institute of Nursing Research, and the Duke Clinical and Translational Science Institute. He has published more than 50 manuscripts, book chapters, and editorials and has mentored numerous students and faculty members. In 2022, he was inducted as a Fellow of the American Academy of Nursing for his significant contributions to improve health and healthcare.

We gratefully acknowledge the support of this event by the Duke Faculty Advancement Seed Awards.