Event Information

Title: Karen Levy, Department of Information Science, Cornell University
Sharing: Public
Start Time: Friday September 29, 2017 04:00 PM
End Time: Friday September 29, 2017 06:00 PM
Location: Informatics East  
Contact: Selma Sabanovic
Free/Busy: busy

midweSTS Graduate Workshop keynote/Informatics Colloquium co-sponsored talk


Speaker:  Karen Levy, Department of Information Science, Cornell University

Where:  Informatics West, Rm. 130

When:  Friday, September 29, 2017, 4:00 pm. 

Title:  Data Driven: Truckers and The New Workplace Surveillance

Abstract:   This talk examines how electronic monitoring systems in the U.S. trucking industry are used to compel truckers’ compliance with legal and organizational rules. For decades, truckers have kept track of their work time using easily falsified paper logbooks, and performed their work without too much regard for legal worktime limits. But new regulations will require truckers’ time to be monitored by digital systems, hard-wired into the trucks themselves, which remove much of the flexibility on which truckers have historically relied.

I focus on how digital monitoring reshapes truckers’ social relations in two spheres. First, I examine how the systems reshape organizational information flows in trucking firms. Electronic monitoring systems accrue real-time aggregated data in remote dispatchers, allowing firms to construct alternative narratives to truckers’ accounts of local and biophysical conditions. Data are then reembedded in drivers’ social networks—fleets and even families—as firms attach economic incentives to them to create new performance pressures. These dynamics facilitate firms’ control over truckers’ work in new ways. I then consider challenges created by human/machine hybridity in inspection interactions, in which law enforcement officers seek to verify truckers’ time logs. Digital monitors destabilize traditional power dynamics by making officers’ technical troubles newly visible to truckers, undermining their authority. Truckers exploit officers’ anxiety by misleadingly signaling the presence of monitors (through a process of “decoy compliance”) in hopes of avoiding inspection. These interactions demonstrate how human discretion and the performance of authority remain fundamental to enforcement regimes, even when they rely in part on digital technology.

Biography:  I’m an assistant professor in the Department of Information Science at Cornell University, associated faculty at Cornell Law School, and field faculty in Cornell’s Department of Science and Technology Studies. I research how rules and technologies interact to regulate behavior, with emphasis on legal, organizational, and social aspects of surveillance and monitoring.

I have a PhD in Sociology from Princeton University, where my dissertation work examined the development of legal and organizational surveillance in the United States trucking industry. I have a JD from Indiana University’s Maurer School of Law. Before joining Cornell, I was a postdoctoral fellow at New York University School of Law’s Information Law Institute, NYU’s Department of Media, Culture, and Communication, and the Data and Society Research Institute.



Contact Email: selmas@indiana.edu
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