Shape the Future of Public Health Data Science & Artificial Intelligence
We will meld ethics and equity with cutting-edge methods to shape how health-oriented data science is structured and used.
Initiatives
Initiative #4a: Define, and then develop, public health data science & data equity resources, in collaboration with others across Yale
- Create one-year task force to complete an inventory of existing resources
- Define and create a shared infrastructure for public health data science and AI (in data sources, data storage, data licensing and agreements, workforce, computing, and dissemination) in collaboration with others across the university
- Evaluate and provide recommendations on how AI may enhance the implementation of other strategic priorities and areas of research focus
Initiative #4b: Strengthen public health data science, data equity, and artificial intelligence educational programming
- Enhance our MS training in public health informatics and data science
- Enhance the quality of and access to public health data science and AI training across the MPH program
- Enhance pipeline and continuing educational opportunities, especially regarding AI (e.g., R25s; public health workforce trainings; hands on interactive workshops on using AI tools)
Initiative #4c: Serve as leaders on society-wide strategies to enhance health data privacy, security, ethics, and equity
- Create robust partnerships with others across Yale working on health data privacy, security, ethics, and equity
- Convene leaders in AI, data privacy and security to advance health-related knowledge and practice
- Define and develop the methodology for novel interfaces for equitable AI-based health analyses
- (see also: 3c, strategic priority 5)
Initiative #4d: Create robust domestic and international community partnerships on public health data science and artificial intelligence
- Support US-based community-participatory approaches to understand barriers to, then engage individuals and communities in, equitable health data collection and analysis
- Forge new partnerships with industry and national labs to leverage current state-of-the-art computational and technological progress towards positive health impact
- Launch new data partnerships and maintain/grow existing data partnerships with international partners
- Identify and pilot non-traditional health data sources to enhance equity and representativeness of systems solutions
Quick Links
- IntroductionAn introduction letter to the YSPH Strategic Plan from Dean Megan Ranney
- Create Pathways for Translating Outstanding Science into Local and Global Health ImpactWe will both conduct world-class research and develop entrepreneurial frameworks that use our scholarship to tangibly improve societal well-being.
- Educate Generations of Public Health LeadersWe will ensure our students excel in understanding, conducting, and using rigorous science to advance population-level health.
- Foster Interconnected, Inclusive, and Interdisciplinary Public Health Communities, Within and Beyond YaleWe will invest in building resilient public health communities in our school, at Yale, in New Haven, Connecticut, and beyond.
- Shape the Future of Public Health Data Science & Artificial IntelligenceWe will meld ethics and equity with cutting-edge methods to shape how health-oriented data science is structured and used.
- Enhance Trust in the Science and Practice of Public HealthWe will support our students, faculty members, alumni, staff, and external partners in serving as trusted spokespeople for, and translators of, public health science.
- Achieve Strategic Imperatives through Operational and Financial ExcellenceWe will strengthen the administrative and financial management systems that are fundamental to our ability to achieve our mission.