Ranjit Singh is a senior researcher with the AI on the Ground team at Data & Society, conducting qualitative research for the Algorithmic Impact Methods Lab (AIMLab). His current work is focused on developing robust methods to evaluate and regulate how algorithmic systems impact everyday life. He also helps guide research ethics at the organization and sustain equity in collaborative research practices both internally and with external partners. Ranjit’s work broadly examines ordinary ethics of how people exercise agency in their everyday experiences with data-driven practices. His research sits at the intersection of AI infrastructures, majority world scholarship, and public policy for data-driven systems, and uses methods of interview-based qualitative sociology and multi-sited ethnography.

At D&S, Ranjit has worked on projects including mapping the conceptual vocabulary of and stories of living with AI in/from the majority world, framing the place of algorithmic impact assessments in regulating AI, and investigating the keywords that ground ongoing research into the datafied state. Ranjit earned his PhD in science and technology studies from Cornell University. His dissertation research on Aadhaar, India’s biometrics-based national identification infrastructure, advanced public understanding of the affordances and limits of identity numbers in practically achieving inclusive development and reshaping the nature of Indian citizenship.