Jieshu Wang | 汪婕舒

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

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

Books
- Co-author of The Peak of Technology: In-Depth Interpretation of the 50 Breakthrough Technologies on MIT Technology Review
  - 17/50 Chapters include Deep Learning, Baxter: the Blue Collar Robot, Agile Robots, 3D Transistors, Magic Leap, Project Loon, Egg Stem Cells, Nanopore Sequencing, Internet of DNA, Agricultural Drones, etc.

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.

Mar 2016 – Aug 2016: Freelance writer for technology
Aug 2015 – Mar 2016: Synced Technology Co., Ltd, Co-founder & Chief Operating Officer
Mar 2014 – July 2015: Newton Science Magazine, Editor & New Media Manager
Aug 2009 – Feb 2014: State Intellectual Property Office of China, Patent Examiner

Internship

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
- Soprano in Chorus 16‘ Choir, won Golden Medal in Beijing Choral Festival
- Keyboard player & vocal in local bands
Handicraft: fabric & leather art
Digital Painting

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