Teacher resources

Jialu LIU

  • Department of:Information、Technology and Innovation
  • Phone:+86 (0)21 52302503
  • Title:Assistant Professor
  • Email:jialuliu@sjtu.edu.cn
Teacher profile
  • Personal Website (https://www.liujialu.org/)

    Employment

    Shanghai Jiao Tong University, 2022 - Now

    Assistant Professor, Information Technology and Innovation Department, Antai College of Economics and Management

    Education

    Chinese University of Hong Kong, 2017 - 2022

    Ph.D. Decision Sciences and Managerial Economics

    Chinese University of Hong Kong, 2013 - 2017

    B.Sc. Global Economics and Finance

    Award

    Best Paper Award, Korea Intelligent Information Systems Society Fall Conference (KIISS), 2021

    Best Student Paper Award, Post-ICIS KrAIS Research Workshop (KrAIS), 2021

    Best Paper Award, 31st Workshop on Information Systems and Economics (WISE), 2020


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Scientific research
  • My research focuses on the economic impact of online platforms and technology (How online platforms change labor market? How IT alleviate agency problem?), the drivers of user behaviors in online communities (how legal regimes change online knowledge production? How to motivate contestants in data science challenge?), as well as the risks in fintech (How to design the risk disclosure policies in crowdfunding platforms? How to predict default risks for fintech companies?).

    Conferences

    “Your Movement in a City Reveals Your Credit”, (with Youngsok Bang), Post-ICIS KrAIS Research Workshop 2021, December 2021. (KrAIS Best Student Paper Award)

    “Your Movement in a City Reveals Your Credit”, (with Youngsok Bang), Korea Intelligent Information Systems Society Fall Conference 2021 (KIISS 2021), December 2021. (KIISS Best Paper Award)

    “Risk Disclosure Policy in Crowdfunding”, (with Siqi Pei, Keehyung Kim), 17th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2021), June 2021

    “Online Food Delivery Platforms and Female Labor Force Participation”, (with Siqi Pei, Xiaoquan Michael Zhang) 31st Workshop on Information Systems and Economics (WISE), December 2020. (WISE Best Paper Award)

    “Designing Multi-Stage Contests”, (with Keehyung Kim), 2020 INFORMS Annual Meeting, November 2020

    “Designing Multi-Stage Contests: Does the Contest Structure Matter?”, (with Keehyung Kim), 16th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2020), June 2020

    “Your Movement in a City Tells Your Credit: Credit Default Prediction based on Geolocation Information”, (with Youngsok Bang). 13th China Summer Workshop on Information Management (CSWIM), June 2019, Shenzhen, China

    “Your Movement in a City Tells Your Credit: Credit Default Prediction based on Geolocation Information”, (with Youngsok Bang). 2018 INFORMS Marketing Science Conference, June 2018, Pennsylvania, USA



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Lecture course
  • Introduction to Artificial Intelligence, 2022

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