Jieshu Wang | 汪婕舒

Postdoctoral Research Fellow at Decision Theater, Arizona State University

Google Scholar page

  • Computational Social scientist / Data Scientist
  • Research interest
    • Artificial intelligence, invention, innovation, complex adaptive system, science of science, civic technology, public engagement, women in STEM, information systems


  • PhD in Human and Social Dimensions of Science and Technology, Arizona State University
  • MA in Communication, Culture & Technology, Georgetown University
  • PGD in Integrated Marketing Communications, The University of Hong Kong, School of Professional and Continuing Education, Graduate with Distinction
  • Master of Engineering in Underground Engineering, Beijing Jiaotong University
  • Double Bachelor’s Degree in Economics, Peking University, China Center for Economic Research
  • Bachelor of Engineering in Civil Engineering, Beijing Jiaotong University


  • Journal Papers
    • Hsu, J. H.-P., Wang, J., & Lee, M. (2022). Towards an Expectation-Oriented Model of Public Service Quality: A Preliminary Study of NYC 311. In F. Hopfgartner, K. Jaidka, P. Mayr, J. Jose, & J. Breitsohl (Eds.), Social Informatics (pp. 447–458). Springer International Publishing.
    • Lee, M., Wang, J., Janzen, S., Winter, S., & Harlow, J. (2021). Crowdsourcing Behavior in Reporting Civic Issues: The Case of Boston’s 311 Systems. Academy of Management Proceedings, 2021(1), 16532.
    • Pine, K. H., Hinrichs, M. M., Wang, J., Lewis, D., & Johnston, E. (2020). For Impactful Community Engagement: Check Your Role. Communications of the ACM, 63(7), 26–28.
    • Lee, M., Wang, J., Johnston, E., Harlow, J., Gordon, E., Janzen, S., & Winter, S. (2020). Toward Understanding Civic Data Bias in 311 Systems: An Information Deserts Perspective. CSCW20, ACM 978-1-4503-6819-3/20/04.
  • Presentations
    • Wang, J. (2022, May 19). Artificial Intelligence is already here. It’s just not evenly distributed. Governance of Emerging Technologies and Science, Phoenix, AZ, USA.
    • Wang, J. (2019, January). The Future of Artificial Intelligence [Open Student Mini Workshop]. Artificial Wisdom Research Group, Graduate School of Advanced Integrated Studies in Human Survivability (GSAIS, aka Shishu-Kan), Kyoto University, Kyoto, Japan.
    • Jieshu Wang. (2018, October 13). History of Artificial Intelligence in China: 1950s—1980s. 2018 Annual Meeting of Society for the History of Technology, St. Louis, MO, U.S.

Work Experience


Skills & Hobbies

  • Language: Chinese (Native); English (Proficient);
  • Computing Skills: data analysis, machine learning, OOP;
  • Programming Skills:
    • Python (Intermediate): familiar with data science, data visualization, and machine learning packages, e.g. Pandas, Numpy, Pytorch, Seaborn, etc.,
  • 3D Modeling: AutoCAD;
  • Web: html, CSS, WordPress;
  • Data Visualization: Tableau, Processing, Seaborn;
  • Music
  • Handicraft: fabric & leather art
  • Digital Painting

Everything we call real is made of things that cannot be regarded as real. – Niels Bohr