Jieshu Wang | 汪婕舒

Postdoctoral Research Fellow at Decision Theater, Arizona State University

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. 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.

2023 till now: Postdoctoral Research Scholar, Decision Theater, Arizona State University
2015 – 2016: Synced Technology Co., Ltd, Co-founder & Chief Operating Officer
2014 – 2015: Newton Science Magazine, Editor & New Media Manager
2009 – 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.,
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