Research InterestsTechnology, Law and Society, Social Policy, Organizations, Computational Social Science
SubfieldsCultural Sociology, Quantitative Methods, Stratification and Inequality
Simone Zhang’s research examines the social consequences of systems that institutions adopt for categorizing and assigning scores to individuals in criminal justice, social policy, and public services. Her work analyzes how these systems shape decisions that affect people’s access to resources and justice, as well as how they influence public perceptions of institutions. She is especially interested in whether new technologies reinforce or disrupt prevailing inequalities in how people are evaluated and treated by institutions. Simone’s recent projects examine the impact of algorithmic risk assessments on courtroom practices; classification schemes that structure access to housing vouchers; and public attitudes toward institutional uses of predictive modeling.