Economists and policy makers worry that the rapid advance of artificial intelligence (AI) and automation technologies could seriously disrupt labour markets.
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Large cities play a disproportionate role in global economic productivity and innovation. Their productivity advantage rests on specialization and the concentration of many diverse skills and capabilities in one place, multiplying economic opportunities and efficiencies. Even so, cities do not appear to develop along one predictable trajectory.
The availability of large digital corpora of cross-linguistic data is revolutionizing many branches of linguistics, triggering a shift of study from detailed questions about individual features to more global patterns amenable to statistical analyses.
Cities are modern society’s hubs for economic productivity and innovation, and now accommodate over half of the world’s population. As job migration is the leading factor in urbanization, policymakers are increasingly concerned about the likely impact of artificial intelligence and automation on city employment.
Much is known about the geometry of road networks within cities, and how these vary with city size and level of economic development. Less is known about how these structures influence the flows of people and activity within cities, and how that activity in turn feeds back to shape road network geometry.
London Mathematical Laboratory
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