Urban science seeks to understand the fundamental processes that drive, shape and sustain cities and urbanization. It is a multi/transdisciplinary approach involving concepts, methods and research from the social, natural, engineering and computational sciences, along with the humanities. This...

Urban scaling analysis, the study of how aggregated urban features vary with the population of an urban area, provides a promising framework for discovering commonalities across cities and uncovering dynamics shared by cities across time and space. Here, we use the urban scaling framework to...

Innovation and obsolescence describes dynamics of ever-churning and adapting social and biological systems from the development of economic markets and scientific progress to biological evolution. The shared aspect of this picture is that agents destroy and extend the "idea lattice" in which...

We propose an easily computable measure called the Major Complexity Index (MCI) that captures the latent skills taught in different majors. By applying the Method of Reflections to the major-to-occupation network, we construct a scalar measure of the relative complexity of majors. Our measure...

For several decades interdisciplinary research has been pushed by funding agencies, science administrators and generations of well-intentioned scientists. Interdisciplinary research is needed, so the argument goes, because the problems we face in medicine, environmental sciences, sociology or...

This article offers a critical review of the post-pandemic inflation debate. The first section organizes the debate by categorizing the arguments into two broad perspectives: the neoclassical view and the critical political economy view, along with several subcategories. This classification is...

This paper revisits the issue of estimating the returns to schooling within a framework that allows multiple unobserved skills with potentially time-varying prices where both skills and prices are possibly correlated with schooling. A common approach to addressing the problem of ability bias...