Kavita Dattani

Assistant Professor
Kavi headshot

Contact Information

B110 S


  • PhD. Human Geography, Queen Mary University of London, 2022
  • MRes. Global Development Futures, Queen Mary University of London, 2018
  • MSc. Globalisation and Development, SOAS, 2014
  • BA. Sociology, University of Nottingham, 2011

Kavita is a feminist researcher of digital technologies and data. Broadly, Kavita's work seeks to uncover the ways in which data-driven digital technologies are enabling new forms of violence and marginality and the potentials for more progressive data futures.  Kavita's research has spanned different kinds of data-driven technologies:

1) Biometric and Financial Technologies.

Focusing an enquiry on Aadhaar, India's biometric identity system, and India Stack, a software infrastructure build on top of it, Kavita's research has mapped the role of different stakeholder groups (corporate and government) and their motives in creating these big-data systems. She shows how revolving door networks enable the production of these initiatives, which create corporate winners and extend colonial data practices. This research has been published in Area and The Journal of Cultural Economy.  

2) Digital Dating Apps

Kavita's PhD research explored the increasing use of digital dating apps (Tinder, Bumble, Hinge, TrulyMadly) among women and gender minorities in Mumbai. This project shows how these platforms' algorithmic systems are designed to maintain class and caste endogamy, which is co-produced by platform users and their dating app practices. In this work Kavita uses the term 'data-bility' as a double entendre to argue that how dateable one is on a dating app, relies on data. 

3) Digital Labour Platforms

Kavita's research on digital labour platforms has spanned multiple geographies. Most recently she worked as a Postdoc on the global Fairwork project at the Oxford Internet Institute, Oxford University. She co-authored a report on Gender and Platform Work: Beyond Techno-Solutionism, which was the first of its kind in illuminating the gendered experiences of digital platform workers. Some of the findings from the report are discussed on the Macrodose podcast.