Data & Society > our work > paper > Regional Diversity in Autonomy and Work: A Case Study from Uber and Lyft Drivers

paper | 10.13.16

Regional Diversity in Autonomy and Work: A Case Study from Uber and Lyft Drivers

Alex Rosenblat, Tim Hwang

Credit: Alexandra Mateescu


D&S researchers Alex Rosenblat and Tim Hwang explore “the significant role of worker motivations and regional political environments on the social and economic outcomes of automation” in this new paper.

Preliminary observations of rideshare drivers and their changing working conditions reveals the significant role of worker motivations and regional political environments on the social and economic outcomes of automation. Technology’s capacity for social change is always combined with non-technological structures of power—legislation, economics, and cultural norms.

Subscribe to the Data & Society newsletter

Support us

Donate
Data & Society Research Institute 36 West 20th Street, 11th Floor
New York, NY 10011, Tel: 646.832.2038

Reporters and media:
[email protected]

General inquiries:
[email protected]

Unless otherwise noted this site and its contents are licensed under a Creative Commons Attribution 3.0 Unported license.