H
Hyejin Youn
Researcher at Northwestern University
Publications - 35
Citations - 1919
Hyejin Youn is an academic researcher from Northwestern University. The author has contributed to research in topics: Population & Price of anarchy. The author has an hindex of 15, co-authored 30 publications receiving 1500 citations. Previous affiliations of Hyejin Youn include KAIST & Santa Fe Institute.
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Constructing cities, deconstructing scaling laws
Elsa Arcaute,Erez Hatna,Peter Ferguson,Hyejin Youn,Hyejin Youn,Anders Johansson,Anders Johansson,Michael Batty +7 more
TL;DR: It is found that most urban indicators scale linearly with city size, regardless of the definition of the urban boundaries, however, when nonlinear correlations are present, the exponent fluctuates considerably.
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Price of Anarchy in Transportation Networks: Efficiency and Optimality Control
TL;DR: This simulation shows that uncoordinated drivers possibly waste a considerable amount of their travel time, and suggests that simply blocking certain streets can partially improve the traffic conditions.
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Toward understanding the impact of artificial intelligence on labor
Morgan R. Frank,David H. Autor,James Bessen,Erik Brynjolfsson,Erik Brynjolfsson,Manuel Cebrian,David J. Deming,Maryann P. Feldman,Matthew Groh,José Lobo,Esteban Moro,Esteban Moro,Dashun Wang,Hyejin Youn,Iyad Rahwan,Iyad Rahwan +15 more
TL;DR: The barriers that inhibit scientists from measuring the effects of AI and automation on the future of work are discussed and a decision framework that focuses on resilience to unexpected scenarios in addition to general equilibrium behavior is recommended.
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Invention as a combinatorial process: evidence from US patents
TL;DR: It is found that the combinatorial inventive process exhibits an invariant rate of ‘exploitation’ (refinements of existing combinations of technologies) and “exploration” (the development of new technological combinations) and the generation of novel technological combinations engenders a practically infinite space of technological configurations.
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The Statistics of Urban Scaling and Their Connection to Zipf’s Law
TL;DR: A self-consistent statistical framework is built that characterizes the joint probability distributions of urban indicators and city population sizes across an urban system and shows that scaling laws emerge as expectation values of these conditional statistics.