Topic of the Challenge:
Insightful information on refugee populations
Yearly, 1.3 billion dollars of humanitarian aid funding is wasted due to outdated supply management practices in refugee camps (Van der Laan, 2016). As a result, an estimated 1.880.000 children, women and men per year cannot be provided with essential humanitarian supplies to keep them safe and in good health.
Together with ELVA and Notilyze, the International Organization for Migration (IOM) has made a Camp Forecast tool to aid in distribution of supplies. To increase the quality of these forecasts an good estimate of the current population in a forecast is helpful. Therefore IOM would like to analyse other data sources that would help to gather more detailed data more efficiently and provide more accurate forecasts. That is where we come in.
Using satellite imagery we want to estimate the current amount of people in 50 refugee camps all over Nigeria. With this information we have both better input for the forecast model and we could revise our forecasts more quickly. Using SAS we want to build an operational object detection model to streamline estimations of camp sizes. The goal is to deliver insightful information on refugee populations with the SAS EMEA Hackathon 2020.
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