I am a senior researcher at Data & Society, focused on qualitative research for the Algorithmic Impact Methods Lab (AIMLab) and a research fellow with Siegel Family Endowment. I also help guide research ethics at the Data & Society (D&S) Research Institute and sustain equity in collaborative research practices both internally and with external partners. 

My work broadly examines the everyday experiences of people subject to data-driven practices. Most people find themselves at the receiving end of data-driven systems, but this does not mean they have no agency. I am particularly interested in following the ordinary ethics of exercising this human agency in navigating everyday struggles of dealing with data-driven systems.

My research sits at the intersection of data infrastructures, majority world scholarship, and public policy for data-driven systems, and uses methods of interview-based qualitative sociology and multi-sited ethnography.

Email: ranjit [at] datasociety [dot] net.

Research Interests

and topics that my work considers and explores