Reducing prejudice in the real world - what works, what scales

This thesis explores prejudice reduction by investigating the literature on what works in the real world through a systematic review and meta-analysis of prejudice reduction field experiments, presenting a scalability framework developed to inform the assessment and design of interventions, and finally, applying the learnings to a novel prejudice reduction intervention based on perceived variability, an approach that has previously been effective and has good potential for scaling. Through this, the thesis highlights that to tackle prejudice against migrants it is necessary for effective interventions to be scalable, as well as a need for an implementation science of social psychology.