Researcher/Technical Writer in New York
Alex Rosenblat is a technology ethnographer who studies automation, labor, and work. Through qualitative research in online forums and through interviews, she studies how Uber and Lyft drivers manage their work in semi-automated workplaces across varied regions in the U.S. and Canada.
Professionally, Alex is a Researcher & Technical Writer at Data & Society in New York. She has an MA in Sociology from Queen's University in Kingston, Canada, and a BA in History from McGill University in Montreal, Canada.
Keywords: algorithmic management; autonomy and work; platforms; gig economy; socio-technical systems
To reach out, try:
Recent Academic Outputs:
Rosenblat, A., & Stark, L. (2016). Algorithmic Labor and Information Asymmetries: A Case Study of Uber’s Drivers. International Journal Of Communication, 10, 27.
Rosenblat, A. Levy, K., Barocas, S., & Hwang, T. (2016). Discriminating Tastes: Consumer Ratings as Vehicles for Bias. Presented on Sept. 22, 2016, at The Platform Society, Oxford Internet Institute.
Bonus: Best Paper Prize. Thanks, Oxford!
Recent media outputs:
Press Coverage Highlights:
New Scientist - Do Uber ratings let passengers discriminate against drivers?
The Wall Street Journal -At Uber, the Algorithm Is More Controlling Than the Real Boss
MIT Technology Review -When Your Boss Is an Uber Algorithm
Semana economica -Mandos medios desaparecen en las empresas de economía compartida
The Guardian - How Uber Conquered London
The Awl- The Uber CounterCulture
Notes from the field: