See the project index for a full list of MagicBox-related repos and their respective maintainers. Code for other projects, like the API and front-end, are hosted in other repositories. It hosts the documentation and other misc. The github repo is the "master" repo for all MagicBox-related projects. Info Poverty Computational Approach to measuring a child’s information health: FUNCTIONS: Sudden Onsets Computational Approach to Evaluate the Impact of Natural Disasters: Social Indicators, using non-traditional sources of data to understand indicators like household poverty, in real-time: School Mapping to map every school in the world and show their connectivity in real-time: įighting Epidemics, using mobility data to create risk maps for the spread of diseases: Using this software application, you can create online courses in minutes, share them with learners, and track learning progress in real-time. It is responsive, intelligent and track-able. LE-AP personalizes user experience with the help of AI conversation engine and machine learning. The Magic Box creates a provocation to industry, a platform for engagement and a product that can change the way UNICEF works in emergencies like Zika or Ebola. LE-AP is an AI-based Learning Experience Platform that can be used across industries to personalize workplace learning and employee training programs. Collaborative data analysis platform developed by UNICEF and made possible through the contributions of private sector partners such as Telefonica, Google, IBM, Amadeus and Red Hat which share their data and expertise for public good.īy harnessing real-time data generated by the private sector, UNICEF can gain critical insights into the needs of vulnerable populations, and make more informed decisions about how to invest its resources to respond to disaster, epidemics and other challenges.
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