With much of the U.S. in shutdown mode to limit the spread of the Covid-19 disease, a debate has sprung up about when the country might “reopen” commerce, to limit economic fallout from the pandemic. But as a new study co-authored by an MIT economist shows, taking care of public health first is precisely what generates a stronger economic rebound later.
His development of multiscale representations as a generalization of renormalization group addressed the limitations of calculus and statistics in the study of nonlinear and network system dependencies in collective behaviors. His recent work quantitatively analyzes the origins and impacts of market crashes, social unrest, ethnic violence, military conflict and pandemics, the structure and dynamics of social networks, as well as the bases of creativity, panic, evolution and altruism.
Solar-Lezama has received a $10 million NSF Expeditions in Computing grant for his work on demonstrating that the combination of deep learning and symbolic reasoning can lead to new learning techniques that can better incorporate prior knowledge and produce interpretable models.
