Nadia Karizat researches social computing, health informatics and human-computer interaction, primarily investigating the connections between digital technologies, AI/algorithms, well-being, stigma, and marginalization. Her research is guided by the following question:

How can we engage with and design technology and online social spaces to facilitate a kind, compassionate, and supportive relationship between the body and the self, specifically when a person has endured stigmatized experiences?

Through multiple projects deeply investigating questions regarding algorithms/AI, mHealth applications and social media, her work will contribute understandings of how to design technology that counters stigma, and specifically how we can build ‘compassionate tech’ that facilitates a kind, compassionate, and supportive relationship between the body and the self.

Pronouns

she/her

Areas of interest

Critical algorithm studies; Compassionate tech; Clinical health; Social media; Mobile health applications; Weight-Related Technologies; Stigma; Marginalization; Health Information practices; Sexual health education; Mental Health; Middle Eastern and North African Diaspora Health; Online Communities; Memory; Digital Archives

Honors & Awards

2022 CSCW Best Paper Honorable Mention

Karizat, N., Delmonaco, D., Eslami, M, and Andalibi, N. (2021). Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance. Proceedings of ACM in Human Computer Interaction (PACM).

UMSI Merit Scholar

UMSI Margaret Mann Award (2021)

Education

B.A. in English Language and Literature, Minor: Arab and Muslim American Studies, University of Michigan-Ann Arbor
M.S. in Health Informatics, M.H.I., University of Michigan, School of Information & School of Public Health
M.A. in Urban and Regional Planning, M.U.R.P., University of Michigan, Taubman College of Architecture and Urban Planning