I am a senior researcher at Data & Society and a research fellow with Siegel Family Endowment. I work on developing robust methods to evaluate and regulate how algorithmic systems impact everyday life. 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. 

I am broadly interested in examining 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 follow the ordinary ethics of exercising this human agency in navigating everyday struggles with data-driven systems.

My 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.

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

Research Interests

and topics that my work considers and explores