Abstract
In this talk I'll provide an overview of the network scale-up method which enables researchers to estimate the size of hidden populations, such as the groups most at-risk for HIV (e.g, drug injectors, sex workers, and men who have sex with men). I'll present a new (and still unpublished) modeling framework for scale-up estimation, and then I'll describe how we operationalized that framework in large scale-up studies in Brazil and Rwanda. I'll close with what I think are the main limitations of our approach and some ideas for how our approach could be improved.