Forecasting elections with a model of infectious diseases

Election forecasting is an innately challenging endeavor, with results that can be difficult to interpret and may leave many questions unanswered after close races unfold. In a paper publishing in SIAM Review, researchers borrowed ideas from epidemiology to develop a new method for forecasting elections. The team hoped the multidisciplinary nature of their infectious disease model could expand the community that engages with polling data and raise research questions from a new perspective.