Predict and Prevent: Overcoming Early Warning Implementation Challenges in UN Peace Operations
Author(s): Allard Duursma, John Karlsrud
Journal Title: TechPops
Publication Year: 2020
Most early warning tools currently in use in peacekeeping missions still take the form of a qualitative analysis conducted by a group of experts. Machine learning to detect patterns in peacekeeping operations data holds great promise for early warning production, argue CSS' Allard Duursma and John Karlsrud in this TechPops blog. However, the use of new technologies is not without risk.