EGRISS IDQ: Leveraging behavioural analysis and AI for more reliable statistics on forcibly displaced populations
Challenge
Identifying refugees and internally displaced people (IDPs) is essential to ensure their visibility in data produced through national surveys, which can affect policy decisions. Clarifying, standardizing, and streamlining survey questions used to identify these groups will fill important guidance gaps and ensure more reliable data.
Solution
Improving and validating the identification questionnaire toolkit for refugee and IDP populations by integrating cognitive testing (examining how people understand questions), behavioural analysis, and AI technologies to ensure clarity, accuracy, and reliability in data collection, aligned to international statistical recommendations.
Impact
Enhanced reliability of identifying forcibly displaced individuals in household surveys, driving more accurate inclusion of refugee, IDP, and stateless communities in official statistics. This will facilitate the production of more comparable data and tracking of Sustainable Development Goals (SDGs) broken down by displacement status.