Research · Narrative Intelligence · Responsible AI
I lead communications monitoring and analysis at the International Federation of Red Cross and Red Crescent Societies (IFRC), working across a global humanitarian network; previously part of the digital intelligence team at UNICEF in New York.
The point is not to produce more monitoring. It is to reduce a large, fragmented information environment into the few findings that deserve human attention, and explain why they matter.
A reliable, AI-assisted workflow that turns fragmented daily monitoring into concise, traceable assessments for expert review, run daily through a live public-health emergency.
Tier assignment decided in code, never by the model.
See the architecture →The divergence from the record is the finding.
See the method →Meaningful signal, separated from vanity metrics.
Read the case study →