Talent and capability development
Universities, training pathways, technical communities, and organizational readiness.
Research
Research notes and explainers on AI in Zambia.
The research section publishes short notes, explainers, and sector analysis for readers tracking AI capability, adoption, and governance in Zambia.
Research tracks
Core themes for early coverage
Institutional adoption conditions
Procurement, data quality, workflow design, governance, and implementation discipline.
Sector application patterns
Where practical use cases may offer value across education, health, agriculture, finance, and infrastructure.
Public-interest governance questions
Accountability, privacy, access, language inclusion, transparency, and long-term local control.
Recent work
Current notes and explainers
Brief
AI capability priorities for universities in Zambia
A concise note on where universities can build practical AI capacity first, from staff literacy and research support to governance questions.
Field note
What slows AI adoption inside institutions
An editorial note on the operational, governance, and procurement mistakes that weaken early adoption efforts.
Explainer
How to evaluate AI use cases before procurement
A practical explainer on workflow fit, data quality, safeguards, and institutional readiness before tool selection.
Participation
How to suggest a research topic
01
Name a real institutional question
The strongest suggestions start with a concrete problem, decision, or evidence gap.
02
Point to public evidence
Useful proposals reference public documents, field evidence, or clearly attributed expert input.
03
Explain why it matters now
A strong topic makes its institutional relevance in Zambia clear from the start.
Next step
Use research to sharpen the conversation
Clear research helps institutions, builders, educators, and public-interest readers make decisions with better evidence.