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Internal displacement mid-year figures (January-June 2017)

This report is based on internal displacement figures made available to IDMC from January-June 2017.

16 August 2017 | Publication

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

Displacement figures in Ukraine fail to reflect a complex reality

Gaps in Ukraine's IDP registration system mean that the scale and dynamics of displacement are not fully understood and some IDPs in need are unable to access government assistance.

03 September 2015 | Briefing Paper

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