DEVELOPING A PRIORITY INDEX FOR EARTHQUAKES

Identifying aid priority areas by learning from past events Written by Evelien Bulte 510 STUDENT GEOGRAPHIC INFORMATION SPECIALIST In the first few days following a severe earthquake there typically is a scarcity of reliable information about the impact on local communities. In this situation, decision makers of the humanitarian aid sector struggle to get an… Read More

EFFICIENT AID: THROUGH ACCURATE PRIORITY INDEX PART 1

Written by 510 INITIATOR Maarten Van der Veen. The Priority Index is a data driven solution to predict damage to houses after a (super) typhoon or hurricane. We use data and machine learning techniques to identify priority areas for humanitarian aid. Organizations like the Red Cross  and Red Crescent National Societies, governments or UN OCHA… Read More