ACLED (2024) Other

Helping the Danish Refugee Council anticipate and prevent forced displacement

ACLED

Ref: SRC-001-SSD-001

https://acleddata.com/helping-danish-refugee-council-anticipate-and-prevent-forced-displacement

Accessed: 3/23/2026

Summary

Impact case study describing how DRC integrates ACLED conflict data into the AHEAD machine learning model to forecast displacement. Details ACLED's role providing indicators on violent events across 244 countries and the May 2024 early response in Akobo County, South Sudan that prevented 2,800 displacements at a cost ratio of €6.60 saved per €1 spent.

View Harvard reference

ACLED (2024) 'Helping the Danish Refugee Council anticipate and prevent forced displacement', ACLED. Available at: https://acleddata.com/helping-danish-refugee-council-anticipate-and-prevent-forced-displacement (Accessed: 23 March 2026).

Linked Cases (1)

SSD-001 SSD Operational Deployment (Limited Rollout)

AHEAD – Anticipatory Humanitarian Action for Displacement (Foresight Model)

Social assistance Classical ML