Improving Refugee Resettlement in the United States Through Analytics Public
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HIAS is a refugee resettlement agency that works with 19 affiliate locations to resettle refugee populations throughout the United States. Our project provided alternative viewpoints to augment the way HIAS resettles refugees, including a proof of concept for optimizing refugee placement by analyzing refugee and location-based data. We identified complementary cities that could be added to HIAS’s network by using clustering algorithms. Finally, we improved the accuracy of Annie, a refugee placement model, by developing scripts to extract location-specific data.
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Permanent link to this page: https://digital.wpi.edu/show/4t64gp96b