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Collaborative data sharing platform

Main functions
  • Combination of different datasets from diverse providers for a more insightful result.
Description

Collaborative platform that is 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.

 

By 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. 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.

 

Use Cases:

School Mapping to map every school in the world and show their connectivity in real-time.

https://www.unicef.org/innovation/school-mapping

Fighting Epidemics, using mobility data to create risk maps for the spread of diseases.

https://www.unicef.org/innovation/fighting-epidemics

Social Indicators, using non-traditional sources of data to understand indicators like household poverty, in real-time.

https://www.unicef.org/innovation/social-indicators

Sudden Onsets Computational Approach to Evaluate the Impact of Natural Disasters

https://www.unicef.org/innovation/sudden-onsets

Info Poverty Computational Approach to measuring a child’s information health.

https://www.unicef.org/innovation/info-poverty

Contributor:

UNICEF

Technical Aspects:

The github repo is the "master" repo for all MagicBox-related projects. It hosts the documentation and other misc. resources for MagicBox. Code for other projects, like the API and front-end, are hosted in other repositories. See the project index for a full list of MagicBox-related repos and their respective maintainers.

 

magicboxmap

 

Language
Javascript
OPEN CODE
Knowledge areas
Data science