"Workforce development for clinical AI cannot be an afterthought — LMIC researchers need structured pathways from awareness to methodology leadership."
| Attribute | Value |
|---|---|
| Status | Incubating |
| Maturity | Design Phase |
| License | Apache-2.0 |
| Part of | Evidence Commons |
| Mission Pillar | Pillar 7 (Education & Workforce Development) |
RAIGH (Responsible AI in Global Health) Curriculum is a collection of open educational resources for AI workforce development, targeting researchers and clinicians in low- and middle-income countries. The curriculum is organized into tiered certification tracks that map directly to platform access levels, creating a structured pathway from foundational AI literacy through independent methodology leadership. The program is aligned with SDG 4 (Quality Education, Target 4.4).
This repository is intended to contain original curriculum content — course modules, competency frameworks, assessment rubrics, and practical exercises. Unlike other EvidenceOSS repositories, this is not an extraction from existing code; it is new content developed specifically for open distribution. The curriculum is currently in concept and Cohort 1 planning phase. No course materials have been published yet.
| Tier | Name | Capabilities | Platform Integration |
|---|---|---|---|
| Tier 0 | Awareness | AI literacy foundations, ethical considerations | Free Lab-in-a-Box tools (SAP template, EPV calculator, TRIPOD checklist) |
| Tier 1 | Foundation | Data stewardship, basic clinical AI evaluation | Basic Lab-in-a-Box access ($200/paper for LMIC researchers) |
| Tier 2 | Evaluator | Independent evaluation methodology, 1 LSR slot/yr | Standard Lab-in-a-Box access |
| Tier 3 | Senior Evaluator | Advanced methodology, 2 LSR slots/yr + mentoring | Premium Lab-in-a-Box access |
| Fellowship | Methodology Lead | Research leadership, 1 LSR as lead/yr | Elite Lab-in-a-Box access |
RAIGH certification is designed to serve as the pricing gate for Lab-in-a-Box LMIC access (INT-02). This integration is not yet built.
What exists:
- Tier structure and competency mapping (documented)
- Integration design with Lab-in-a-Box pricing tiers (INT-02, not built)
- Open Badges 3.0 credential issuance specification (planned)
What does not exist yet:
- Course content for any tier
- Assessment instruments or rubrics
- Learning management system deployment (OpenEdX and MinnaLearn under evaluation)
- INT-02 authentication middleware linking credentials to Lab-in-a-Box pricing
- Cohort 1 pilot materials
- Finalize Tier 0 and Tier 1 learning objectives and module outlines
- Develop Tier 0 course content as Markdown-based open educational resources
- Design assessment rubrics aligned with competency framework
- Select and configure LMS platform (OpenEdX or MinnaLearn)
- Define Open Badges 3.0 credential schema for each tier
- Pilot Tier 0 with Cohort 1 participants
- Iterate on Tier 1-3 content based on pilot feedback
graph LR
A[RAIGH Academy<br/>certification tiers] --> B[RAIGH-Curriculum]
B -->|INT-02| C[Lab-in-a-Box<br/>pricing gate]
D[Clinical Arena<br/>failures] -->|INT-06| B
style B fill:#2A9D8F,stroke:#1E3A8A,color:#fff
RAIGH Curriculum is part of the University-in-a-Box product family under PAATHI (Partnership on AI, Technology and Health Innovation). Graduates feed into Lab-in-a-Box as credentialed researchers (INT-02) and receive training cases generated from Clinical Arena evaluation failures (INT-06). The long-term target is 10M MOOC participants leading to 1M certified researchers.
Canonical source: Standalone (original curriculum content)
This project is not yet accepting contributions. Curriculum design and pedagogical review are ongoing. See CONTRIBUTING.md for future plans.
Apache-2.0 — see LICENSE for details.