Jian Gao

Jian Gao

Postdoctoral Research Fellow

Kellogg School of Management

Northwestern University

Biography

Dr. Jian Gao is a Postdoctoral Research Fellow at the Center for Science of Science and Innovation (CSSI), Kellogg School of Management, Northwestern University, USA. He is also a researcher in residence at the Northwestern Institute on Complex Systems (NICO). He is now working with Prof. Dashun Wang at Kellogg. Between 2016 and 2017, he is one-year visiting PhD student at the Collective Learning group at the MIT Media Lab, hosted by Prof. César A. Hidalgo. Before joining Kellogg at Northwestern, he received his PhD in computer science from UESTC in 2019, advised by Prof. Tao Zhou.

He is currently working in interdisciplinary fields Computational Socioeconomics and Science of Science, with a primary research interest in understanding complex social and economic systems. His works have been published in general audience and field journals including Science, Nature, Physics Reports, Regional Studies, J. R. Soc. Interface, etc.

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Interests
  • Science of Science
  • Computational Social Science
  • Network Sciences
  • Economic Complexity
  • Knowledge Diffusion
  • Social Economics
  • Big Data
Education
  • Ph.D. in Computer Science, 2019

    Univ. of Electronic Science & Technology of China | advisor Prof. Tao Zhou

  • Master Student in Computer Science, 2014

    Univ. of Electronic Science & Technology of China | advisor Prof. Tao Zhou

  • B.Sc. in Info. & Computing Science, 2012

    Univ. of Electronic Science & Technology of China

Research Experience

 
 
 
 
 
Postdoctoral Research Fellow
Sep 2019 – Present Evanston, USA | working with Prof. Dashun Wang
 
 
 
 
 
Graduate Research Assistant
Sep 2016 – Sep 2017 Cambridge, USA | working with Prof. César A. Hidalgo
 
 
 
 
 
Visiting Scholar
Feb 2016 – Apr 2016 Boston, USA | working with Prof. H. Eugene Stanley
 
 
 
 
 
Graduate Research Assistant
Sep 2014 – Jul 2019 Chengdu, China | working with Prof. Tao Zhou

Full Publications

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(2021). Spillovers across industries and regions in China’s regional economic diversification. Regional Studies.

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(2021). Coevolution of policy and science during the pandemic. Science.

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(2020). Impact of high-speed railway on economic development. Journal of University of Electronic Science and Technology of China.

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(2020). Quantifying policy responses to a global emergency: Insights from the COVID-19 pandemic. arXiv:2006.13853.

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(2020). Bilateral relatedness: knowledge diffusion and the evolution of bilateral trade. Journal of Evolutionary Economics.

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(2020). Computational Socioeconomics: A data-driven framework for quantifying progress towards achieving the Sustainable Development Goals (SDGs). Future Cities, New Economy, and Shared City Prosperity Driven by Technological Innovations.

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(2019). Research on the spatial structure and dynamics of socio-economic systems. PhD Thesis of University of Electronic Science and Technology of China, 2019.

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(2019). Computational socioeconomics. Physics Reports.

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(2019). Online data reveal key factors on salary expectation. Journal of University of Electronic Science and Technology of China.

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(2019). Regional economic status inference from information flow and talent mobility. EPL (Europhysics Letters).

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(2018). Application of carrier data on precise poverty alleviation and emergency management. Journal of University of Electronic Science and Technology of China (Social Sciences Edition).

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(2018). Orderliness predicts academic performance: behavioural analysis on campus lifestyle. Journal of The Royal Society Interface.

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(2018). A trust-based recommendation method using network diffusion processes. Physica A: Statistical Mechanics and its Applications.

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(2018). Height conditions salary expectations: Evidence from large-scale data in China. Physica A: Statistical Mechanics and its Applications.

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(2018). Quantifying China’s regional economic complexity. Physica A: Statistical Mechanics and its Applications.

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(2017). Link prediction in weighted networks via structural perturbations. 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

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(2017). Maximizing the collective learning effects in regional economic development. 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

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(2017). Stamp out fake peer review. Nature [Note: correspondence article; replied by Springer Nature: T. Welschot, Nature 546 (2017) 210].

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(2017). Evaluating user reputation in online rating systems via an iterative group-based ranking method. Physica A: Statistical Mechanics and its Applications.

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(2017). Collective learning in China's regional economic development. arXiv preprint arXiv:1703.01369.

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(2017). A vertex similarity index for better personalized recommendation. Physica A: Statistical Mechanics and its Applications.

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(2016). Critical size of ego communication networks. EPL (Europhysics Letters).

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(2016). Promotion and resignation in employee networks. Physica A: Statistical Mechanics and its Applications.

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(2016). Big data reveal the status of economic development. Journal of University of Electronic Science and Technology of China.

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(2015). Bootstrap percolation on spatial networks. Scientific Reports.

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(2015). Group-based ranking method for online rating systems with spamming attacks. EPL (Europhysics Letters).

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(2013). Long-term effects of recommendation on the evolution of online systems. Chinese Physics Letters.

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(2012). Finding conspirators in the network via machine learning. The UMAPJournal.

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