Hyejin Youn

Donald P. Jacobs Scholar
Assistant Professor of Management & Organizations

Print Overview

Hyejin Youn is an Assistant Professor of Management & Organization Department at the Kellogg School of Management, and a core faculty at NICO, the Northwestern Institute on Complex Systems. She is also Royal Society of Arts fellow, and an external fellow at London Mathematical Laboratory, London, UK. Prior to joining Kellogg, she worked at University of Oxford, Harvard University, and MIT Media Lab, and Santa Fe Institute, as a research fellow. Hyejin received her PhD in Physics in 2011 from Korea Advanced Institute of Science and Technology (KAIST). She was a Principal Investigator of the project a National Science Foundation grant (USA) to study Technological Change from the Map of Capabilities. 

Her research interests are to understand the interplay between technological innovation and socio-economic systems (urbanisation, economic diversity and specialisation, invention activity, future of work). Her highly interdisciplinary approach often results in broad collaborations ranging from mathematicians, computer scientists, economists, sociologists, anthropologists, to archeologists. Her work has been published in general audience such as Nature communication, and PNAS, as well as top specialized journals such Physics Review Letter, and Evolutionary Anthropology, and has been featured in The Econonmist, Forbes, The Guardian, Scientific America, MIT Technonlogy Review, among other major global media outlets. Her goal is to develop a theoretical, yet empirically grounded, framework that will enable us to turn the increasing volumes of data into scientific insights and well-designed policies, an approach known as computational social science. The mathematical tools and computational methods that are used include scaling theory, spatial analysis (including percolation theory, information theory and fractal dimension analysis), statistics, and network theory. 

Print Vita
PhD, 2011, Statistical Physics, KAIST
MS, 2006, Physics, KAIST
BS, 2003, Physics, KAIST

Academic Positions
Assistant Professor of Management & Organizations, Management and Organizations, Kellogg School of Management, Northwestern University, 2017-present
Donald P. Jacobs Scholars, Kellogg School of Management, Kellogg School of Management, 2017-present
RSA Fellow, Royal Society for Arts, 2017-present
Visiting Fellow, John F. Kennedy School of Government, Harvard University, 2017-2017
Visiting Scientist, Media Lab, Massachusetts Institute of Technology, 2016-2017
Research Fellow, Sante Fe University, 2013-present
Senior Researcher Fellow, Mathematical Institute, University of Oxford, 2013-2016

Other Professional Experience
Review Editor, ICT, 2016-present
Principal Investigator, National Science Foundation (USA), 2014-2017

Print Research
Research Interests

My research aims to develop a mathematical and computational framework to understand socio-economic systems. These include (see the detail here)

Science of Cities | Pathway of Innovation  | Linguistics (Semantics)

Cui, Xue-Mei, Chang No Yoon, Sang Hoon Lee, Jean S. Jung, Hyejin Youn and Seung Kee Han. 2017. Dynamic burstiness of word-occurrence and network modularity in textbook systems. Physica A: Statistical Mechanics and its Applications. 487: 103-110.
Lee, Minjin, Hugo Barbosa, Hyejin Youn, Petter Holme and Gourab Ghoshal. 2017. Morphology of travel routes and the organization of cities. Nature Communication. 8(2229)
Sabloff, Paula, Rudolf Hanel, Stefan Thurner and Hyejin Youn. 2017. Demographics and Democracy: A Network Analysis of Mongolians’ Political Cognition. Journal of Anthropological Research. 73(4): 617-646.
Youn, Hyejin, Jose Lobo, Deborah Strumsky and Luis Bettencourt. 2016. Invention as a combinatorial process: Evidence from U.S. Patents. Journal of the Royal Society Interface. 12(20150272)
Hamilton, Marcus, Jose Lobo, Eric Rupley, Hyejin Youn and Geoffrey West. 2016. The ecological and evolutionary energetics of hunter-gatherer residential mobility. Evolutionary Anthropology. 25(3)
Youn, Hyejin, Jose Lobo, Luis Bettencourt, Deborah Strumsky, Horacio Samaniego and Geoffrey West. 2016. Scaling and universality in urban economic diversification. Journal of the Royal Society Interface. 13(114)
Kim, Daniel, Daniel Burkhardt Cerigo and Hyejin Youn. 2016. Technological novelty profile and invention's future impact. EPJ Data Science. 5(8)
Youn, Hyejin, Eric Smith, Christopher Moore, Logan Sutton, Jon Wilkins, Ian Maddieson, William Croft and Tanmoy Bhattacharya. 2016. On universal structure of human lexical semantics. Proceedings of the National Academy of Sciences. 113(7): 1766-1771.
Arcaute, Elsa, Erez Hatna, Peter Ferguson, Hyejin Youn, Michael Batty and Anders Johansson. 2014. Constructing cities, deconstructing scaling laws. Journal of the Royal Society Interface. 12(102)
Bettencourt, Luis, Horacio Samaniego and Hyejin Youn. 2014. Professional diversity and the productivity of cities. Scientific report. 4(5393)
Salnikov, Vsevolod, Daniel Schien, Hyejin Youn, Renaud Lambiotte and Michael T Gastner. 2013. The geography and carbon footprint of mobile phone use in Cote d’Ivoire. EPJ Data Science. 3(3)
Gomez-Lievano, Andres, Hyejin Youn and Luis Bettencourt. 2012. The Statistics of Urban Scaling and Their Connection to Zipf’s Law. PLOS ONE. 7(7)
Youn, Hyejin, Michael T Gastner and Hawoong jeong. 2009. Inefficiency in Networks with Multiple Sources and Sinks. International Conference on Complex Sciences. 4
Youn, Hyejin, Michael T Gastner and Hawoong jeong. 2008. Price of Anarchy in Transportation Networks: Efficiency and Optimality Control. Physical Review Letters. 101(128701)
Frank, Morgan, Manuel Cebrian, Hyejin Youn, Lijun Sun and Iyad Rahwan. 2018. Small cities face greater impact from automation. Journal of the Royal Society Interface. 15(139)
Working Papers
Lobo, Jose, Luis Bettencourt, Geoffrey West and Hyejin Youn. 2015. The Hypothesis of Urban Scaling: formalization, implications, and challenges.
Youn, Hyejin. 2017. 43 Visions for complexity. World Scientific, Edited by: Stefan Thurner.

Print Teaching
Teaching Interests

Data Science; Network Science; Scaling theory

Full-Time / Evening & Weekend MBA
Social Dynamics and Network Analytics (MORS-457-0)

**This course was formerly known as MORS-945-0**

Today's business leaders face unparalleled levels of connectivity and complexity. To help students meet these challenges, Social Dynamics and Networks Analytics provides an in-depth introduction to the emerging fields of social dynamics and network science including social networks, social media, tipping points, contagion, the wisdom of crowds, prediction markets, and social capital. Using simple yet powerful hands-on interactive models and exercises, the course covers both theory and applications of social dynamics for organizational growth, leadership, and competitiveness. The course was developed jointly with Professor Uzzi and complements the MORS-430 leadership and organizations course.