I am a PhD student at the University of Michigan School of Information
and advised by Kentaro Toyama.
I am interested in understanding the impact of technology on low-income African Americans across the United States. I recognize the great diversity of this community, and I enjoy researching the intersection of race, class, and technology.
I research, design, and develop technology that is concerned with equity and justice at the forefront. I enjoy developing spaces, places, and technology that are equitable and inclusive for all people.
Prior to UMSI, I had the pleasure of working with wonderful colleagues at the U.S. State Department and the U.S. Peace Corps.
Ogbonnaya-Ogburu, I. F., Smith, A. D. R., To, A., & Toyama, K. (2020, April). Critical Race Theory for HCI. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM. [Acceptance rate: 23.8%] [Best Paper (top 1%)]
Ogbonnaya-Ogburu, I. F., Toyama, K., & Dillahunt, T. R. (2019, May). Towards an Effective Digital Literacy Intervention to Assist Returning Citizens with Job Search. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-12). [Acceptance rate: 23.8%]
Erete, S., Nicole, L., Mumm, J., Boussayoud, A., & Ogbonnaya-Ogburu, I. F. (2016, May). That Neighborhood is Sketchy!: Examining Online Conversations about Social Disorder in Transitioning Neighborhoods. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 1180-1186). ACM.