In March, the Yale School of Public Health (YSPH) hosted a two-day conference focusing on digital health equity and health innovation. The event brought together prominent figures from universities and the health care sector to explore how data science can drive equitable public health decisions and outcomes.
The conference, "Digital Health Equity: Local Empowerment, Global Alignment," was held on March 4-5, 2025, at Kline Tower. It was organized by YSPH's Data Science and Data Equity program in collaboration with the Yale Institute for the Foundations of Data Science (FDS) and supported by the Yale MacMillan Center.
Experts shared insights on the transformative role of data science in public health, emphasizing its potential to promote fairness and social impact beyond traditional analysis. Discussions highlighted innovative approaches to using data for informed policy decisions, inclusive scientific discoveries, and equitable health care practices.
The conference aimed to disseminate knowledge, tools, and resources essential for fostering a fair and just public health landscape. By aligning local empowerment with global efforts, participants sought to create a more fair and innovative data-driven future for public health.
Dr. Bhramar Mukherjee, PhD, is the first senior associate dean of Public Health Data Science at YSPH. She led the conference with YSPH faculty Dr. Brian Wahl, PhD, MPH; Dr. Terika McCall, PhD, MPH, MBA; Dr. Forrest W. Crawford, PhD; and Kaakpema Yelpaala, MPH.
Dean Megan L. Ranney, MD, MPH, welcomed the attendees and highlighted the importance of information and data in health today. Using this information is powerful, but it comes with responsibilities. FDS Director Dan Spielman acknowledged the collaboration between YSPH and FDS in combining data science and human health.
“The expertise, insights, and discussions reaffirmed a key principle: data science innovations are stronger when they include all of us,” Dr. Mukherjee said.