The information about a crisis is scattered through decentralised reports and bulletins, across a range of organisation sizes and types from small, local NGOs to larger international organisations; through media news channels and social media chatter; in structured formats or unstructured formats.

Mining that ever-prevalent and growing volume of scattered ‘secondary’ information, analysing and converting it into understanding, and putting accessible information into the hands of humanitarian decision makers is labour intensive.

The project aims to put information about an affected areas into the hands of humanitarian decision makers in a clear, accessible and clustered manner in order to further their decision-making process in the first 72 hours of response.

A rapid automatic approach to search and gather relevant information from static data sources across the internet is developed to significantly decrease the manpower currently needed to gather information. In addition, a research is conducted on the humanitarian IM landscape, feeding the development of the prototype.

The project team is comprise of UNICEF international, UNICEF Netherlands, Humanity X and the Centre for Innovation of the University of Leiden.

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