Presentation to the Red Cross, Washington USA

Today we visited the Red Cross, Washington, to discuss the huge potential for early warning systems of Disaster Management, based not on post-event reporting, but on identifying behavioural pattern changes before the event occurs? An particularly promising example is the detection of impending Urban Flooding in developing nations through observation of changes in mobile money patterns uncovered by machine learning models.

We’d like to extend our thanks to Aynur Kadihasanoglu for inviting us to speak. We aim in the next steps of this work to pilot a system in Dar es Salaam (see below an example of a physical flood model is visualized on the PARM system).

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