FAIR: Leveraging appeals data for more accountable and timely assistance
Challenge
There is no automated system to facilitate a triage of incoming appeals for joint targeting/prioritization exercises by UNHCR and the World Food Programme (WFP). Available capacity to follow up on appeals is limited and must be carefully managed.
Solution
Leverage data – and strengthen its visualization and presentation – to enable informed decision-making on appeals. By combining appellants' grounds for appeal with existing proGres data, the project will predict each appeal’s chances of success, enabling UNHCR/WFP to prioritize follow-up on those most likely to succeed.
Impact
UNHCR and WFP are able to more effectively leverage appeals data to improve follow-up and decision-making on appeals – ultimately improving outcomes from appeals while ensuring data protection.
Project impact
Other information
When UNHCR and WFP provides assistance programmes, country operations face a significant initial peak in appeals to vulnerability categorisation and assistance decisions, while staff capacities for follow-up remain limited. Funded by the Data Innovation Fund as the first joint UNHCR-WFP innovation project of its kind, the Fair Appeal Information Review (FAIR) app that provides operations an application that automates triage, routes cases through a structured multi-functional team workflow, and integrates with ActivityInfo for end-to-end traceability. The app replaces fragmented, email- and Excel-based processes with role-based access, audit logs and version history, ensuring that incorrectly categorised vulnerable households are reviewed in time to avoid negative coping strategies. FAIR delivers a harmonised, replicable model for accountable appeals data management.