Antimicrobial resistance is one of the greatest public health challenges of our time. To tackle this, we need to develop policies that optimally target our resources to reduce the clinical burden. In this workshop we focused on how mathematical modelling can reduce the numbers of this endpoint - the patients infected with drug resistant bacteria.