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On Tuesday July 24th, the Rwanda Meteorology Agency (Meteo Rwanda) with support from the United Nations Development Programme (UNDP) concluded a 5-day Hackathon on the application of IoT for Climate Early Warning. The Hackathon brought together different developers and climate data scientists across the region to test technology and applications to address Disaster Preparedness and Early Warning Systems through ‘real time’ environmental data collection, analysis and dissemination. Rwanda is a country highly prone to disaster, including landslides, flash floods, droughts, windstorm, lightning and earthquakes. Over 157,000 people vulnerable to drought, 7,431 are vulnerable to landslide, and over 5,000 houses are vulnerable to windstorm in the rural areas. Real-time micro level climate data is critical for disaster risk management, early warning and for rapid response to disaster. However, collection of this data is challenging. A large part of present data collection is done manually, with data being sent monthly by phone and paper forms. This can delay the early warning mechanism and in the face of large scale disaster, be inefficient to provide first-hand scoping information, and moreover lead to loss of data.

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