Resume

Jieshu Wang | 汪婕舒

Google Scholar page

  • Computational Social scientist / Data Scientist
  • Science Writer / Science (fiction) Fan / Science translator
  • Bibliophile / Art Lover
  • Focuses: Social dimensions of Artificial Intelligence

Education

  • Aug 2018 – : Arizona State University, Tempe, AZ, U.S.
    • Ph.D. candidate of Human and Social Dimensions (HSD) of Science and Technology, School for the Future of Innovation in Society
  • Sept 2016 – May 2018: Georgetown University, Washington DC, U.S.
    • Master of Arts in Communication, Culture & Technology (CCT)
    • Thesis: What’s in your face? Discrimination in Facial Recognition Technology
  • Sept 2014 – May 2016: University of Hong Kong, Beijing, China
    • Post Graduate Diploma in Integrated Marketing Communications (IMC)
    • Graduate with Distinction, top one in the program
  • Sept 2007 – June 2009: Beijing Jiaotong University, Beijing, China
    • Master of Engineering in Underground Engineering, top one in the program
  • Sept 2007 – June 2009: Peking University, Beijing, China
    • Double Bachelor’s Degree in Economics, at China Center for Economic Research (CCER)
  • Sept 2003 – June 2007: Beijing Jiaotong University, Beijing, China
    • Bachelor of Engineering in Civil Engineering

Publications

  • 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. https://doi.org/10.1007/978-3-031-19097-1_31
    • 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. https://doi.org/10.5465/AMBPP.2021.16532abstract
    • 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. https://doi.org/10.1145/3334480.XXXXXXX
  • 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. https://aw.gsais.kyoto-u.ac.jp/images/poster20190119.pdf
    • 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

Internship


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.,
    • Kotlin (Basic);
  • 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