Chloé Sudduth is a PhD candidate at Rutgers School of Criminal Justice whose work sits at the intersection of digital technologies, law, and punishment. She studies the ways that Big Data, algorithmic systems, and criminal legal logics operate to expand punishment beyond the criminal legal system and shape power in contemporary society. Her dissertation explores algorithmic tenant screening systems in the private rental housing market as both technical infrastructures and cultural artifacts. Sudduth’s research interests are deeply tied to her prior work and experiences as an advocate and organizer.
Sudduth’s research project explores algorithmic tenant screening systems as a case of algorithmic decision-making that advances humanistic and interpretive approaches to understanding algorithmic governance. This project approaches algorithmic tenant screening as a site where symbolic power is produced, contested, and legitimated, exploring how notions of risk, criminal legal logics, and broader histories of quantification are leveraged in the housing domain through algorithmic decision-making.