Exploring AI's impact on workforce
Exploring the characteristics of AI's knowledge creation and diffusion
Peer-Reviewed Journal Publications:
[In Press] Wang, J., & Maynard, A. (2025). Gender Disparity in U.S. Patenting. Humanities and Social Science Communications
[In Press] Wang, J., Gundogdu, T. B., Ivic, R. K., Butler, B. S., & Lee, M. (2025). News Deserts as Information Problems: A Case Study of Local News Coverage in Alabama. Proceedings of the Association for Information Science and Technology.
Wang, J., & Solís, P. (2025). Identifying Latent Workforce Capacities for Extreme Heat Resilience: An Artificial Intelligence Assisted Approach. Energy and AI, 100580. https://doi.org/10.1016/j.egyai.2025.100580
Wang, J., Kiran, E., Aurora, S. R., Simeone, M., & Lobo, J. (2025). ChatGPT on ChatGPT: An Exploratory Analysis of its Performance in the Public Sector Workplace. Digit. Gov.: Res. Pract., 6(2), 29:1-29:28. https://doi.org/10.1145/3676281
Wang, J., & Lobo, J. (2024). Extensive growth of inventions: Evidence from U.S. patenting. Technological Forecasting and Social Change, 207, 123586. https://doi.org/10.1016/j.techfore.2024.123586
Wang, J., Lobo, J., Shutters, S. T., & Strumsky, D. (2024). Fueling a net-zero future: The influence of government-funded research on climate change mitigation inventions. Environmental Innovation and Societal Transitions, 51, 100836. https://doi.org/10.1016/j.eist.2024.100836
Wang, J., Maynard, A., Lobo, J., Michael, K., Motsch, S., & Strumsky, D. (2024). Knowledge Combination Analysis Reveals That Artificial Intelligence Research Is More Like “Normal Science” Than “Revolutionary Science.” Proceedings of the 57th Hawaii International Conference on System Sciences, 5598--5607. https://hdl.handle.net/10125/107058
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. https://doi.org/10.1145/3401720
Book Chapters
Hinrichs, M., Wang, J., Roe, C., & Johnston, E. W. (2025). AI Integration in Mental Health Services: Examining Trends in the USA and Peoria, Illinois. In P. Ahrweiler (Ed.), Participatory Artificial Intelligence in Public Social Services: From Bias to Fairness in Assessing Beneficiaries (pp. 255–275). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-71678-2_12
Working Papers, Preprints, and Technical Reports
Kim, S., Chang, D., & Wang, J. (2025). Persona Alchemy: Designing, Evaluating, and Implementing Psychologically-Grounded LLM Agents for Diverse Stakeholder Representation (arXiv:2505.18351). arXiv. https://doi.org/10.48550/arXiv.2505.18351
Li, R., & Wang, J. (2025). The Impact of Generative AI on the Urban Transportation Workforce (SSRN Scholarly Paper 5120920). Social Science Research Network. https://doi.org/10.2139/ssrn.5120920
Shutters, S. T., Lobo, J., & Wang, J. (2023). The Role of Occupational Socialness on the Productivity of Metropolitan Economies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4659919
Bernstein, M. J., Wang, J., Bevaresh, S., Keeler, L. W., & Basile, G. (2021). Social Value in Sustainability Assessment and Reporting. Arizona State University, School for the Future of Innovation in Society, Global Futures Laboratory, and The Global KAITEKI Center.