E and CSE predictive models Practitioners highlighted that since the exploitation models were reliant on existing Police data, biases embedded within this are expressed in the model outputs. For example, an Early Intervention practitioner pointed out that predictions from the CCE and CSE models tended to under-represent girls compared to boys: Social Finance Limited +44 (0) 20 7770 6836 87 Vauxhall Walk, London SE11 5HJ socialfinance.org.uk 49 “We know there’s young girls that get criminally exploited, but they don’t come up, we don’t talk about them cause they don’t fit. On Qlik it’d generate like 50 names of mostly boys” In this case, the model is unable to address issues within the underlying data containing certain biases. A Senior Manager in Children Services reflected: “The fact that children from certain groups are more likely to be reported missing means they're more likely to have a higher vulnerability score bias around kind of policing activity and outcomes are hard coded in.” Since the CCE and CSE models have been decommissioned, this represents an important lesson to bear in mind when developing their replacement. Such considerations may also be valuable when thinking about the next iteration of the NEET model. Although it was felt by practitioners and the Insight Bristol team that this model contains less embedded bias, since it makes use of a much wider range of datasets and sources. 5.5 Cost-benefit Analysis To develop a better understanding of the value of the TFD and associated products in monetary terms, we carried out a cost-benefit analysis (CAB). The scope of this analysis concerns all costs and activity in relation to the development and maintenance of the TFD and TFE since the former’s inception in 2015 to 2023. We also considered perceived benef