Predicting the destinations of Congolese refugees
Working with the United Nations, we studied refugee destination predictions in the Democratic Republic of Congo. After assessing IT's role in refugee aid, my team crafted a model predicting group movements based on factors like irregularities, local ethnicity, language, and geography. Predicting these flows aids in proper relief distribution. Our results were shared at the International Development Conference and featured in a Bright Network book chapter. Please see Publication for the details.
