
Who we work with
Eticas audited the algorithmic system that predicts homelessness risk in Allegheny county, Pennsylvania, E.E.U.U. The model took into consideration 964 variables coming from different departments and regulatory bodies of the county (demographic and mental health variables, justice, prison, hospital visits and substance use registers, amongst others). Eticas analysis focused on determining the algorithmic model accuracy, as well as evaluating different metrics in order to be able to measure possible system bias (protected groups, sociodemographic discrimination such as age, race, gender and disability). The findings of the study were published by both organizations, diffusing the acquired knowledge and contributing to the spreading of this subject both within the public sphere as well as amongst relevant contributors from the field.