Jian GAO

Jian GAO

Research Assistant Professor

Kellogg School of Management

Northwestern University

Biography

Dr. Jian Gao is a Research Assistant Professor 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 CSSI. Between 2016 and 2017, he is one-year visiting Ph.D. student in 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 exploring interdisciplinary fields of the Science of Science and Computational Socioeconomics, with a primary 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
  • Computational Socioeconomics
  • Network Science
  • Economic Complexity
  • Knowledge Diffusion
  • AI and Innovation
  • Future of Work
  • Science and Policy
  • Big Data / Social Media
Education

  • Ph.D. in Computer Science, 2019

    University of Electronic Science and Technology of China (advisor Prof. Tao Zhou)

  • Visiting Student in Media Arts & Sciences, 2017

    Massachusetts Institute of Technology (MIT) Media Lab (advisor Prof. César A. Hidalgo)

  • Master Student in Computer Science, 2014

    University of Electronic Science and Technology of China (advisor Prof. Tao Zhou)

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

    University of Electronic Science and Technology of China

Experience

 
 
 
 
 
Research Assistant Professor
Northwestern University, Kellogg School of Management
Sep 2021 – Present Evanston, USA | working at Kellogg CSSI
 
 
 
 
 
Postdoctoral Research Fellow
Northwestern University, Kellogg School of Management
Sep 2019 – Aug 2021 Evanston, USA | working with Prof. Dashun Wang
 
 
 
 
 
Graduate Research Assistant
Massachusetts Institute of Technology, The MIT Media Lab
Sep 2016 – Sep 2017 Cambridge, USA | working with Prof. César A. Hidalgo
 
 
 
 
 
Visiting Scholar
Boston University, Department of Physics
Feb 2016 – Apr 2016 Boston, USA | working with Prof. H. Eugene Stanley
 
 
 
 
 
Graduate Research Assistant
Univ. of Electronic Science & Technology of China, CompleX Lab
Sep 2014 – Jul 2019 Chengdu, China | working with Prof. Tao Zhou

Topics

Academic Performance Behavioural Data Behavioural Pattern Big Data Bootstrap Percolation Campus Collaborative Filtering Collective Learning Cosine Similarity CosRA Index COVID-19 Critical Value Curvilinear Relationship Diligence Economic Complexity Education Orderliness Policy Recommender System Science

Full Publications

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Lusi Wu, Jian Gao, Tao Zhou (2021). The moderated curvilinear relationship between work experience diversity and salary. Academy of Management (AOM) Annual Meeting Proceedings.

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Luo-Luo Jiang, Jian Gao, Zhi Chen, Wen-Jing Li, Jürgen Kurths (2021). Reducing the bystander effect via decreasing group size to solve the collective-risk social dilemma. Applied Mathematics and Computation.

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Jian Gao, Bogang Jun, Alex ‘Sandy’ Pentland, Tao Zhou, César A. Hidalgo (2021). Spillovers across industries and regions in China’s regional economic diversification. Regional Studies.

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Yian Yin, Jian Gao, Benjamin F. Jones, Dashun Wang (2021). Coevolution of policy and science during the pandemic. Science.

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Mei Xie, Wei Bai, Qinyuan Wu, Jian Gao, Tao Zhou (2020). Impact of high-speed railway on economic development. Journal of University of Electronic Science and Technology of China.

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Jian Gao, Yian Yin, Benjamin F. Jones, Dashun Wang (2020). Quantifying policy responses to a global emergency: Insights from the COVID-19 pandemic. arXiv:2006.13853.

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Bogang Jun, Aamena Alshamsi, Jian Gao, César A. Hidalgo (2020). Bilateral relatedness: knowledge diffusion and the evolution of bilateral trade. Journal of Evolutionary Economics.

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Jian Gao, Tao Zhou, Quan-Hui Liu (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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Yi Cao, Jian Gao, Tao Zhou (2019). Orderliness of campus lifestyle predicts academic performance: A case study in Chinese university. Digital Phenotyping and Mobile Sensing.

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Jian Gao (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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Jian Gao, Yi-Cheng Zhang, Tao Zhou (2019). Computational socioeconomics. Physics Reports.

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Jun Wang, Jian Gao, Xiao Yang, Jin-Hu Liu, Tao Zhou (2019). Online data reveal key factors on salary expectation. Journal of University of Electronic Science and Technology of China.

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Jun Wang, Jian Gao, Jin-Hu Liu, Dan Yang, Tao Zhou (2019). Regional economic status inference from information flow and talent mobility. EPL (Europhysics Letters).

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Wei-Jie You, Jian Gao, Tao Zhou (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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Yi Cao, Jian Gao, Defu Lian, Zhihai Rong, Jiatu Shi, Qing Wang, Yifan Wu, Huaxiu Yao, Tao Zhou (2018). Orderliness predicts academic performance: behavioural analysis on campus lifestyle. Journal of The Royal Society Interface.

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Ling-Jiao Chen, Jian Gao (2018). A trust-based recommendation method using network diffusion processes. Physica A: Statistical Mechanics and its Applications.

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Xiao Yang, Jian Gao, Jin-Hu Liu, Tao Zhou (2018). Height conditions salary expectations: Evidence from large-scale data in China. Physica A: Statistical Mechanics and its Applications.

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Jian Gao, Tao Zhou (2018). Quantifying China’s regional economic complexity. Physica A: Statistical Mechanics and its Applications.

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Liming Pan, Lei Gao, Jian Gao (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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Jian Gao (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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Jian Gao, Tao Zhou (2017). Stamp out fake peer review. Nature [Note: correspondence article; replied by Springer Nature: T. Welschot, Nature 546 (2017) 210].

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Jian Gao, Tao Zhou (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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Jian Gao, Bogang Jun, Alex Pentland, Tao Zhou, César A. Hidalgo (2017). Collective learning in China's regional economic development. arXiv preprint arXiv:1703.01369.

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Ling-Jiao Chen, Zi-Ke Zhang, Jin-Hu Liu, Jian Gao, Tao Zhou (2017). A vertex similarity index for better personalized recommendation. Physica A: Statistical Mechanics and its Applications.

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Qing Wang, Jian Gao, Tao Zhou, Zheng Hu, Hui Tian (2016). Critical size of ego communication networks. EPL (Europhysics Letters).

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Jia Yuan, Qian-Ming Zhang, Jian Gao, Linyan Zhang, Xue-Song Wan, Xiao-Jun Yu, Tao Zhou (2016). Promotion and resignation in employee networks. Physica A: Statistical Mechanics and its Applications.

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J Gao, T Zhou (2016). Big data reveal the status of economic development. Journal of University of Electronic Science and Technology of China.

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Jian Gao, Tao Zhou, Yanqing Hu (2015). Bootstrap percolation on spatial networks. Scientific Reports.

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Jian Gao, Yu-Wei Dong, Ming-Sheng Shang, Shi-Min Cai, Tao Zhou (2015). Group-based ranking method for online rating systems with spamming attacks. EPL (Europhysics Letters).

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Dan-Dan Zhao, An Zeng, Ming-Sheng Shang, Jian Gao (2013). Long-term effects of recommendation on the evolution of online systems. Chinese Physics Letters.

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Fangjian Guo, Jiang Su, Jian Gao (2012). Finding conspirators in the network via machine learning. The UMAPJournal.

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