*A note from Co-PI Noopur Raval: The arrival and rise of gig-work globally has ushered in a new wave of conversations around the casualization of labor and the precarious nature of digitally-mediated “gigs,” ranging from online crowdwork gigs to digitally-mediated physical work such as Ubering. Gradually, scholarship has extended beyond North America and Europe to map the landscape of digital labor in the global south. These posts that make up “India’s Gig-Work Economy” are the result of one such project titled ‘Mapping Digital Labour in India,’ where four research fellows and a program manager, me,  have been studying the dynamics of app-based ridehailing and food-delivery work in two Indian cities (Mumbai and New Delhi). This project is supported by the Azim Premji University’s Research Grants program. In this series of posts, the research fellows and I offer reflections on pleasure, surveillance, morality and other aspects woven into the sociality of gig-work and consumption in India. Each post also has an accompanying audio piece in an Indian language, in a bid to reach out to non-academic and non-English speaking audiences. The series ends with a roundtable discussion post on the challenges, gender and class dynamics, and ethics of researching gig-work(ers) in India.* Download a transcript of the audio in Devanagari. Ride-hailing platforms such as Olacabs and Uber have “disrupted” public transport in India since their arrival. It has been almost seven years since app-based ride-hailing became a permanent feature of urban and peri-urban India with these aggregators operating in over a 100 Indian cities now. Akin to the global story, much has happened – there was a period of boom and novelty for passengers and drivers, then incentives fell. Ride-hailing work has become increasingly demanding with reduced payouts. But what hasn’t received enough attention (especially outside the US) is how these platforms create a deliberate regime of information invisibility and control to keep the drivers constantly on their toes which works to the companies’ advantage. What then are the implications of this uncertainty, which is fueled by app design as well as by the companies’ decision that drivers need little or no information about users? How does service delivery operate in a context where those actually delivering it have little or no idea about the workings of the system? (read more...)