Public Health Future Explorers
Issued by
University of Arizona
This microcredential validates competency in digital public health by designing a campaign that incorporates Artificial Intelligence or Internet of Things technologies with policy alignment and stakeholder engagement, and conducting quantitative data analysis to develop an evidence-based policy proposal. Learners demonstrate skills through workshops, role-play exercises, and collaborative activities or equivalent engagement with course materials.
- Type Validation
- Level N/A
- Time Weeks
- Cost N/A
Skills
- AI and Emerging Technology Literacy
- AI Ethics
- Artificial Intelligence (AI)
- Campaign Design and Evaluation
- Data Analysis
- Data-Driven Decision Making
- Digital Public Health Development
- Digital Public Health Strategy
- Ethical Reasoning in Health Technology
- Health Economics
- Policy Development
- Policy Research
- Public Health
- Public Policy
- Quantitative Data Analysis
Earning Criteria
-
Earners complete two signature assignments: (1) a group digital public health campaign project incorporating technologies, policy research, and an impact evaluation plan; and (2) an individual quantitative analysis of public health data with a policy proposal.
Standards
The AI for Public Health Initiative at the Mel & Enid Zuckerman College of Public Health, advances workforce readiness in applying ethical, data-driven and innovative AI solutions to public health challenges. The course integrates MEZCOPH's standards for interdisciplinary collaboration, technological proficiency, & equity-focused health innovation.