PHAISE + HPM: Artificial Intelligence and Data Science to Improve Population Health
For more information, visit the event page:
https://publichealth.jhu.edu/node/321976.
Johns Hopkins Bloomberg School of Public Health 2025-04-08 16:00 2025-04-08 17:30 UTC use-title Location Wolfe Street Building/W1020 (Becton Dickinson)

Public Health + AI Strategic Endeavors (PHAISE) and the Department of Health Policy and Management (HPM) are partnering to present an AI-focused seminar on health policy and management. AI-interested audiences of all backgrounds and areas of expertise are encouraged to attend this in-person seminar and learn more about AI case uses relevant to population health and health care. Dr. Jonathan Weiner, professor, Health Policy and Management, will lead audiences through the topics outlined below in his presentation.
- Frameworks and concepts relevant to Artificial Intelligence (AI) and Data Science (DS) in the population health and health care domains
- AI and DS R&D at the Center for Population Health IT
- A “realistic” assessment of the current opportunities and challenges of AI applied to predictive analytics
- Suggested future AI/DS directions for BSPH faculty working to improve health care systems
In addition to his presentation with the aims outlined above, Dr. Weiner will lead an interactive discussion with the audience about potential uses (and abuses) of artificial intelligence and data sciences applied to the areas of population health and health care policy and management.

Jonathan Weiner
Dr. Weiner is the founder and co-director of the Center for Population Health Information Technology (CPHIT) and the co-developer and scientific director of the ACG predictive modeling system (a population risk algorithm in used widely in 24 nations).