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The future is here, ahead of schedule: detecting incidents of displacement through machine learning and natural language processing

The head of our Data & Analysis department, Justin Ginnetti, shares his initial reflections and takeaways on the IDETECT challenge which ended in April.

11 May 2017 | Blog Post

Painting a clearer picture with ‘flawed’ and ‘messy’ data

Compiling global figures on internal displacement, refugee statistics or international migration is a maddening, humbling experience. How can we improve data quality and ensure it is collected and used responsibly?

24 March 2017 | Blog Post

#IDETECT: how technology and collaboration between innovators can help ensure “no one is left behind”.

As part of its innovation efforts, IDMC has launched #IDETECT, the ‘Internal Displacement Event Tagging Extraction and Clustering Tool’ challenge on the UN Unite Ideas platform. We welcome data scientists to join the challenge to help IDMC paint a more comprehensive picture of internal displacement.

31 January 2017 | Blog Post

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