Publications
Beliveau, A. E., Haddad, A. J., Podnar, E. A., Sharma, D., & Bhat, C. R. (2026). Disparities in pedestrian crossing and driver yielding behaviors: evidence from a large-scale observational study at urban intersections. Accident Analysis & Prevention 230 , 108465 . https://doi.org/10.1016/j.aap.2026.108465
Haddad, A. J., Mondal, A., Bhat, C. R., Zhang, A., Liao, M. C., Macias, L. J., Lee, M. K., & Watkins, S. C. (2023). Pedestrian crash frequency: Unpacking the effects of contributing factors and racial disparities. Accident Analysis & Prevention 182 , 106954 . https://doi.org/10.1016/j.aap.2023.106954
Han, J. X., Miller, A., Watkins, S. C., Winship, C., Christia, F., & Shah, D. (2024). A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems. In Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) . https://ojs.aaai.org/index.php/AIES/article/view/31658
Kammer-Kerwick, M., Cox, K., Purohit, I., & Watkins, S. C. (2024). The role of social determinants of health in mental health: An examination of the moderating effects of race, ethnicity, and gender on depression through the all of us research program dataset. PLOS Mental Health 1 (3) , e0000015 . https://doi.org/10.1371/journal.pmen.0000015
Kammer-Kerwick, M., Pogue, G., Purohit, I., Spandikow, E., De Jesus, R., Lifton, J., & Watkins, S. C. (2025). Integrating Health AI into Safety-Net and Rural Health Care Settings: Research, Insights, and Recommendations. https://repositories.lib.utexas.edu/items/e69f17c9-a63b-455b-a08b-c6bff36c10af
Kulkarni, C., Wu, T., Holstein, K., Liao, Q. V., Lee, M. K., Lee, M., & Subramonyam, H. (2023). LLMs and the Infrastructure of CSCW. In CSCW '23: Computer Supported Cooperative Work and Social Computing , 408-410 . https://doi.org/10.1145/3584931.3608438
Watkins, S. C., Kammer-Kerwick, M., Turner Lee, N., Rathnasingham, R., Wilds, T., & Woolston, C. (2025). Building a Healthier Future: Designing AI for Health Equity. https://naacp.org/resources/building-healthier-future-designing-ai-health-equity
Zhang, A., & Lee, M. K. (2026). Contextualizing Datasets: Deepening Awareness of Data Biases through Critical Reflection of Civic Data. In CHI 2026: CHI Conference on Human Factors in Computing Systems , 1-29 . https://doi.org/10.1145/3772318.3791306
Zhang, A., & Lee, M. K. (2025). Knowledge Workers' Perspectives on AI Training for Responsible AI Use. In CHI 2025: CHI Conference on Human Factors in Computing Systems , 1-18 . https://doi.org/10.1145/3706598.3714100
Zhang, A., Liao, M., Kravchenko, E. (., Taylor, M., Haddad, A., Bhat, C., Watkins, S. C., & Lee, M. K. (2025). Data and Technology for Equitable Public Administration: Understanding City Government Employees' Challenges and Needs. Proceedings of the ACM on Human-Computer Interaction 9 (7) , 1-27 . https://doi.org/10.1145/3757477
Zhang, A., Rana, R., Boltz, A., Dubal, V., & Lee, M. K. (2024). Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig Work. In CHI '24: CHI Conference on Human Factors in Computing Systems , 1-21 . https://doi.org/10.1145/3613904.3642000
Zhang, A., Walker, O., Nguyen, K., Dai, J., Chen, A., & Lee, M. K. (2023). Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation. Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1) , 1-32 . https://doi.org/10.1145/3579601