Africa’s borders cut across communities, ecosystems, markets and transport networks. A country can hold strong national preparedness and remain exposed if its border districts are disconnected.
Collaboration during Ebola, Marburg and mpox has been real but event-based: agreements signed in an emergency, stood down once it passes. AI, machine learning and advanced analytics can turn that reactive posture into preparedness intelligence: anticipating threats, forecasting impact and directing investment before a local event becomes a regional emergency.
Three dialogues
Ninety minutes, three conversations: political trust, responsible AI, and the money that has to move upstream.
Leadership
Political trust across borders
What agreements let countries share preparedness information fast? How do border communities become the first line of regional preparedness rather than the last point of national surveillance?
Innovation
From data to intelligence to decisions
Where does AI deliver value now? How are epidemiological, climate, mobility, genomic and animal-health data combined responsibly, and how does Africa avoid dependence on externally controlled algorithms?
Partnership
Financing intelligence before emergencies
How development banks, donors, philanthropy and the private sector move investment upstream, from financing response to financing anticipation and readiness.
The goal is not one centralised database but a federated, trusted ecosystem: countries keep appropriate control of their data while the region generates the intelligence collective security requires.
On the programme
Presidential and ministerial dialogue
Development partner panel and the New York Call to Action
Technology spotlight: Preparedness Data Exchange (PDX)
Live demonstration, with Voyage Santé+ border screening
