Mathematical modeling and analytics are valuable tools to inform policy and programmatic decisions, and there have been many successful examples in global health using disease burden estimation, modeling, and forecasting. It has become increasingly clear that these approaches will need to incorporate a gender lens, either because women and girls comprise a greater fraction of the remaining burden, or because they hold the keys to a more efficient solution. This RFP seeks innovative approaches to modeling of women's health issues or of broader health topics that incorporate a gender lens.