Formal demographic models are useful to describe and compare populations through time and space. But these models are evolving over time, as we gain new insights from population processes. In this talk, I demonstrate how formal demographic methods help to study racial disparities in infant outcomes, and, conversely, how characteristics of racial differences in infant outcomes help to improve demographic models.

Monica Alexander is an Assistant Professor in Statistical Sciences and Sociology at the University of Toronto. Her research focuses on developing statistical methods to help measure demographic and health outcomes. She received a PhD in Demography and Masters in Statistics from the University of California, Berkeley. Prior to that she received a Masters of Social Research from the ANU. She has worked on research projects with with organizations such as UNICEF, the World Health Organization, the Bill and Melinda Gates Foundation, and the Human Mortality Database.

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