Amit Anil Nanavati, Nitendra Rajput, et al.
MobileHCI 2011
We present a machine learning system for forecasting forced displacement populations deployed at the Danish Refugee Council (DRC). The system, named Foresight, supports long term forecasts aimed at humanitarian response planning. It is explainable, providing evidence and context supporting the forecast. Additionally, it supports scenarios, whereby analysts are able to generate forecasts under alternative conditions. The system has been in deployment since early 2020 and powers several downstream business functions within DRC. It is central to our annual Global Displacement Report which informs our response planning. We describe the system, key outcomes, lessons learnt, along with technical limitations and challenges in deploying machine learning systems in the humanitarian sector.
Amit Anil Nanavati, Nitendra Rajput, et al.
MobileHCI 2011
Amol Thakkar, Andrea Antonia Byekwaso, et al.
ACS Fall 2022
Dimitrios Christofidellis, Giorgio Giannone, et al.
MRS Spring Meeting 2023
Carla F. Griggio, Mayra D. Barrera Machuca, et al.
CSCW 2024