INFORMS Open Forum

Systems Analytics Global Leaders' Seminars: Online Seminar by Professor Jason Cao (Nov 22 / Nov 23)

  • 1.  Systems Analytics Global Leaders' Seminars: Online Seminar by Professor Jason Cao (Nov 22 / Nov 23)

    Posted 11-20-2022 02:19
      |   view attached

    Dear colleagues and friends,

    It is our great honor to have Professor Jason Cao deliver the coming seminar on November 22 (Tue) 20:00 (CST UTC-6) / November 23 10:00 (HKT UTC+8). The details of the seminar follow this message and are presented on the attached poster.

    For the upcoming seminars, please visit the website: https://www.saleaders.hku.hk/. For news and announcements, you are welcome to subscribe to the seminar series through the web link.

    We are looking forward to seeing you.

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    Speaker:
    Jason Cao

    Professor,
    Humphrey School of Public Affairs,
    University of Minnesota

    Co-Editor-in-Chief 
    Transportation Research Part D​

     

    Date and time:  Nov 23 (Wed), 2022, 10:00 HKT (UTC+8)  [Local time]
    Zoom link: https://hku.zoom.us/j/93965533071       Zoom meeting ID: 939 6553 3071

     

    Seminar title: 
    The charm of machine learning approaches in addressing nonlinear relationships between variables

    Abstract: 
    Empirical studies often assume a (generalized) linear relationship between variables.  However, scholars need to diagnose this assumption.  If the true relationship is nonlinear, the linear assumption will lead to a biased estimate.  This presentation emphasizes the charm of machine learning approaches in address the nonlinear relationships between variables in the context of land use and transportation.  The case studies show that the applications of machine learning may change the conventional understanding of land use-transportation interactions and inform planners of efficient solutions to address transportation-related challenges. 

    Speaker bio:
    Dr. Jason Cao specializes in land use and transportation interaction, the effects of ICT on travel behavior, and planning for quality of life.  He has published more than 120 peer-reviewed papers and edited four books.  He is internationally well-known for his research on residential self-selection in the relationships between the built environment and travel behavior.  His recent work focuses on the applications of machine learning approaches in addressing the nonlinear relationships in land use and transportation research.  He received his degrees from University of California, Davis and Tsinghua University.



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    Yong-Hong Kuo
    Assistant Professor
    The University of Hong Kong
    Pokfulam Road
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