The child protection system is fragmented and disjointed, with multiple data sets, sources, standards and capabilities. It is difficult to join up data, obscuring the scale of complexity and challenges within the system. Without high-quality data that can guide policy, funding and interventions, children continue to be exploited and abused, and perpetrators of abuse have impunity.  

Child protection data is also changing. With the advent of new technology like extended realities and generative AI comes new forms of harms. Those that work across the child protection system need to be prepared to not just build better foundations and standards to commission, collect and analyze existing data, but be ready to future-proof the system against harm in new spaces and in new ways.  

This program recognizes that complex data insights are needed for a complex system, and that every actor and discipline within the system has a role to play. Through this interdisciplinary and challenge-driven program, students will learn how to conceptualism and use child protection data to create change.