AI for Community Health: Field-to-Code Workshop

Highlights

Field data collection; hands-on model building; supervised deployment

Concept

This workshop makes AI accessible to frontline community health actors by connecting field reality with practical machine-learning applications. Participants gather their own health data and apply simple AI models to support triage, risk flagging, or resource allocation decisions.

Expected Outcomes

Deployed simple triage/risk-flagging model; trained field data collectors; documented use-case results

Program Outline

Days 1-2: Field data collection fundamentals | Days 3-4: Building and testing simple AI models | Day 5: Supervised deployment and results review

Target Audience

Community health workers; frontline health data collectors

Format

In-person

Duration

1 week