2nd Edition Zuckerman College of Public Health

Public Health & AI
Summer School

An immersive program for the AI transformation of public health

June 8 – 11, 2026
📍 Grand Challenges Research Building
750 N Cherry Ave, Tucson, AZ 85719 · University of Arizona
Sold Out → View Program
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First Edition Highlights

See What You’ll Experience

A look inside the inaugural Public Health & AI Summer School — Tucson, 2025.

52
Participants
4
Days of Learning
12
Expert Instructors
92%
Would Recommend

Data from the 1st Edition · University of Arizona · June 2025

Choose Your Path

Two Tracks, One Transformative Experience

Whether you’re taking your first steps or ready to scale — there’s a journey designed for you.

🌱 Beginner Friendly

AI Literacy

Your gateway to the AI revolution in public health

Curious about AI but don’t know where to start? You’re not alone — and you’re in exactly the right place.

AI Literacy is designed for public health professionals who want to understand what AI actually is, how it works, and — most importantly — how it can transform the way you approach population health challenges. No coding required. No technical background needed.

Perfect for you if
  • You’re new to AI and want a solid foundation
  • You work in public health and see AI changing your field
  • You want practical skills without the technical overwhelm
  • You need to evaluate AI tools for your organization
You’ll walk away able to
Understand AI fundamentals Write effective prompts Evaluate AI tools critically Identify use cases Navigate ethics Speak AI with confidence
🚀 Level Up

AI Fluency

From AI user to AI builder — scale your impact

You’ve used AI tools. Now you’re ready to build with them.

AI Fluency is for practitioners who have moved past the basics. You’ll dive into code versioning, geospatial analysis, RAG systems, and responsible AI frameworks — working with real datasets, building actual pipelines, and leaving with projects you can deploy.

Perfect for you if
  • You’ve experimented with AI and want to go deeper
  • You need to build reproducible analysis workflows
  • You’re leading or planning AI initiatives
  • You’re ready to create, not just consume
You’ll walk away able to
Version control with AI Build reproducible pipelines Implement RAG systems Create eval benchmarks Deploy geospatial AI Lead responsibly

🤝 What Both Tracks Share

Built Together, Beyond the Classroom

🛠️

AI Maker Space

Every afternoon, both tracks come together for hands-on labs where you’ll build, experiment, and create real projects.

🎤

Expert Panels

Daily discussions with leaders in health AI, from agency modernization to environmental impact.

🌐

Community

Join a network of public health professionals navigating the AI transformation together.

🏆

Recognition

Earn a micro-credential and digital badge from the University of Arizona upon meeting completion criteria.

🎓

Micro-Credentials & Digital Badges

All participants who meet the earning criteria will receive an official micro-credential and digital badge issued by the University of Arizona — Applied AI in Public Health.

✓ Verifiable credential ✓ Shareable on LinkedIn ✓ Issued by University of Arizona

Daily Schedule

Four Days, Fully Mapped

AI Literacy AI Fluency All Tracks

Day 1: Foundations

Monday, June 8, 2026

8:45
📋 Registration & Check-in
Badge pick-up
9:00
Welcome & Opening Keynote: Introduction to AI in Public Health
Onicio B. Leal Neto, PhD
All Tracks
10:00
What’s AI? Fundamentals for Public Health
Enrique Noriega, PhD
Literacy
10:00
Interpretability of AI Outputs for Public Health
Alexandra Restrepo, PhD
Fluency
10:50
☕ Break
Until 11:00 AM
11:00
Panel: Health Design Implementation and AI
Moderator: Jose Florez-Arango, PhD · Matthew Briggs · Sandra Bae, PhD
All Tracks
12:00
🍽 Lunch Break
Networking opportunity
1:00
AI Maker Space: AI Agent
Onicio B. Leal Neto, PhD
All Tracks
3:15
☕ Break
Until 3:30 PM
3:30
Fireside Chat: Modernization of Public Health Agencies with AI
Lindsay Kohler, Pima County Health Dept. · Kate Carter, City of Tucson
All Tracks
4:30
✦ Day 1 Wrap-up

Day 2: Data & Digital Health

Tuesday, June 9, 2026

9:00
AI in Patient Care & Digital Health Cohorts
Marvin Slepian
All Tracks
10:15
☕ Break
Until 10:30 AM
10:30
Data Management Skills for AI in Health
Jose Florez-Arango, PhD
Literacy
10:30
Geospatial Analysis AI-Powered
Tyson Swetnam, PhD
Fluency
12:00
🍽 Lunch Break
Networking opportunity
1:00
AI Maker Space: Data Projects
Jose Florez-Arango, PhD
All Tracks
3:15
☕ Break
Until 3:30 PM
3:30
Fireside Chat: Current Gaps in AI & Health Training
Onicio B. Leal Neto, PhD · Randi B. Weinstein, PhD
All Tracks
4:30
✦ Day 2 Wrap-up

Day 3: Applications & Ethics

Wednesday, June 10, 2026

9:00
Prompt Engineering Deep Dive
Tyson Swetnam, PhD
Literacy
9:00
Responsible AI: Transparency, Accountability, Bias
Wolfgang Jentner
Fluency
10:15
☕ Break
Until 10:30 AM
10:30
Wearables & Digital Biomarkers in Public Health
Shravan Aras, PhD
Literacy
10:30
New Paradigms in Data Visualization
Wolfgang Jentner, PhD
Fluency
12:00
🍽 Lunch Break
Networking opportunity
1:00
AI Maker Space: Building Applications
Onicio B. Leal Neto, PhD
All Tracks
3:15
☕ Break
Until 3:30 PM
3:30
Panel: Building an Academic Ecosystem for Modernizing Public Health with AI
Moderator: Onicio B. Leal Neto, PhD · Jose Florez-Arango, PhD · Vignesh Subbian, PhD
All Tracks
5:00
✦ Day 3 Wrap-up

Day 4: Advanced Topics & Future

Thursday, June 11, 2026

9:00
Evaluating AI Tools for Public Health
Enrique Noriega, PhD
All Tracks
10:30
AI Assistance for Developing Interactive Visualizations
Takanori Fujiwara, PhD
Fluency
10:30
Multi-modal Data with AI
Shravan Aras, PhD
Literacy
11:15
☕ Break
Until 11:30 AM
11:30
AI and Healthcare Delivery
Marvin Slepian, PhD
All Tracks
12:30
🍽 Lunch Break
Networking opportunity
1:30
AI Maker Space: Projects Showcase
Jose Florez-Arango, PhD
All Tracks
3:15
☕ Break
Until 3:30 PM
3:30
Ask Me Anything: Environmental Impact of AI
Tyson Swetnam, PhD
All Tracks
4:30
🎓 Closing Remarks & Certificates
Celebration and next steps
All Tracks

⚠️ The program and agenda are subject to change without prior notice.

Registration

Choose Your Learning Path

Two in-person tracks for different experience levels, plus a self-paced online option — all delivering practical AI skills for public health professionals.

📍 In-Person

AI Literacy

$400Regular price
🎟️ Sold out — waiting list open. This track has reached full venue capacity. Join the waiting list and we’ll contact you first if more seats become available.
  • AI & PH Club Member –50%$200
  • UA Student –40%$240
  • Public Health Worker –35%$260
  • UA Junior Faculty –35%$260
  • Regular Attendee$400
What you’ll learn
AI FundamentalsDigital EpidemiologyPrompt EngineeringEvaluating AI Tools

✓ You’re on the waiting list! We’ll email you first if a seat opens up.

📍 In-Person

AI Fluency

$400Regular price
🎟️ Sold out — waiting list open. This track has reached full venue capacity. Join the waiting list and we’ll contact you first if more seats become available.
  • AI & PH Club Member –50%$200
  • UA Student –40%$240
  • Public Health Worker –35%$260
  • UA Junior Faculty –35%$260
  • Regular Attendee$400
What you’ll learn
Code VersioningGeospatial AIResponsible AIRAG Systems

✓ You’re on the waiting list! We’ll email you first if a seat opens up.

🌐 Online — Opens Mid-July 2026

AI & Public Health Online

$199Regular price

A curated selection of topics on AI applied to public health practice — available on-demand, at your own pace, from anywhere in the world.

What you’ll learn
AI FundamentalsPrompt EngineeringEvaluating ToolsDigital Health

✓ You’re on the list! We’ll email you as soon as online registration opens.

Faculty & Practitioners

Speakers Line-up

Leading researchers, clinicians, and technologists shaping AI in public health.

Leadership

Scientific Committee

Guiding the curriculum and ensuring academic excellence.

Onicio B. Leal Neto

Zuckerman College of Public Health

Kasi Kiehlbaugh

Zuckerman College of Public Health

Shravan Aras

Zuckerman College of Public Health

Jose F. Florez-Arango

Center for Biomedical Informatics & Biostatistics (CB2)

Enrique Noriega

Department of Computer Science

Wolfgang Jentner

Arizona Institute for AI and Society

Tyson Swetnam

BIO5 Institute

Financial Support

Scholarship Opportunities

We believe AI education should be accessible to public health students.

🎓 Student Scholarships

Scholarships are available for students enrolled at the Mel & Enid Zuckerman College of Public Health. Eligible students can apply through the Dean’s Annual Fund to cover registration costs.

Eligibility Requirements
  • Currently enrolled student at the Zuckerman College of Public Health
  • In good academic standing
  • Commitment to attend all four days of the Summer School
Apply via Dean’s Fund →