From arrival to exit: Modelling shelter stays
Challenge
UNHCR has not yet fully leveraged the extensive operational data it possesses to estimate how long people forced to flee will stay in emergency shelters. Addressing this data-driven shelter management gap could improve planning and resource allocation, furthering UNHCR’s protection and durable solutions mandates.
Solution
Use UNHCR registration and sheltering data to develop a simulation model that explores how different factors affect shelter stays. This tool could help UNHCR test various management strategies, plan more effective shelter exits, and design long-term support solutions.
Impact
Accurate identification of factors affecting length of stay will inform policy and programme development, enhancing UNHCR’s data-driven decision making and ultimately improving refugee well-being. The exploration of different shelter management scenarios through simulation will support more effective planning, resource allocation, and tailored exit strategies.