Full Breakdown
Algorithmic Survey Helps Identify At-Risk Students: Emily’s Story
8/24/2026, 4:40:04 AM
Core Event – Survey Identifies Homelessness Risk
Emily, a 20-year-old transgender student in Cardiff, faced eviction and severe depression while her family of seven lived in temporary accommodation. After transferring to St Illtyd’s Catholic High School, she completed a short questionnaire created for the Llamau programme by Cardiff University. The survey asked about relationships, mental health and living situation; an algorithm then evaluated the responses to flag pupils at risk of homelessness. Emily’s answers triggered the system, leading to outreach from a support worker named Russell, who helped her attend school and engage in social activities.
Background & Context – Llamau’s Approach
Llamau is designed to locate young people whose risk of homelessness is not already known to authorities. By analysing self-reported data, the programme can identify students who might otherwise fall through existing safety nets. The initiative operates alongside Upstream, a youth-focused charity, to provide targeted assistance once a risk is flagged.
Data & Statistics – International Findings
The article notes that in Australia, almost two-thirds of participants in a comparable pilot met the criteria for homelessness risk, illustrating the algorithm’s potential to uncover hidden vulnerability among students.
Official Statements & Responses – Support Services
Russell, Emily’s support worker, described his role in encouraging her to leave the house “once or twice a week” for recreational outings, saying the contact helped “get out of her shell.” The programme’s coordinators emphasize that the algorithm’s strength lies in its ability to detect risk without prior referrals, enabling timely intervention.
Verbatim Quotes
“I probably just ticked all the boxes of what Llamau could help with and what Upstream could help with,” — Emily
