Alex Rosenblat is a technology ethnographer who works on the challenges of being a human in a machine’s world. She is a Researcher and Technical Writer at Data & Society, where her tech-ademic work spans across multiple initiatives, including Intelligence & Autonomy, Data & Fairness, and The Future of Labor in a Data-Centric Society. Her research findings on the employment structures that emerge through software platforms for Uber drivers are implicated in the evolving conceptions of worker management in sociotechnical systems. In order to ground public discourse and policy debates on the automation of work, she communicates her findings through a combination of scholarship, journalistic outputs, and white papers. Her ongoing research into socio-technical systems currently centers on how Uber/Lyft/other ridehail drivers adapt to app-mediated work across diverse regional contexts. The broader arc of her work explores information and power asymmetries, law, civil rights, and the social implications of emergent technologies. She holds an MA in Sociology from Queen’s University in Kingston, Canada, and a B.A. in History from McGill University in Montreal, Canada.