Work and the Data Economy

A joint meeting of the Society for Economic Anthropology and the Society for the Anthropology of Work

April 18-20, 2024
Tufts University, Medford, MA

Conference Co-Chairs:
Marcel LaFlamme, Worcester Polytechnic Institute
Alex Blanchette, Tufts University

Call for Papers

The production, distribution, and consumption of digital data has become an important domain of economic activity. Data is said to upend conventional economic thinking, as a resource that can be transported at negligible cost and used without being depleted. Yet the enactment of the data economy depends on more and less familiar forms of human labor, from the waged work of analysts, modelers, and technicians to the uncompensated and often nonconsensual generation of trace data in everyday life. Sensor networks gathering real-time data have permeated industries from agriculture to shipping, while the digitization of museum holdings and the massification of genetic sequencing have given rise to new value chains that cut across boundaries of public and private. The consequences of these developments are still coming into focus, promising greater efficiency and access but also compounding issues of equity and control. How, we might ask, does data capitalism stand to reinforce inequality along lines of race, gender, class, and disability (Milner and Traub 2021)?

While the advent of the platform-based gig economy has been the object of scholarship and activism in recent years, less attention has been paid to how datafication—broadly defined as the transformation of subjects, objects, and processes into digital data—has influenced more traditional forms of work and economic life (Sánchez-Monedero and Dencik 2019). Yet anthropologists of these domains are increasingly finding their own roles recast as chroniclers and practitioners of diverse types of data work (Douglas-Jones, Walford, and Seaver 2021). This meeting seeks to thematize and build on such scenes of recognition by exploring emergent data practices, ideologies, and valuation regimes, especially in settings not conventionally associated with high-tech or knowledge work. The meeting will foster interdisciplinary exchange by placing the insights of anthropologists in dialogue with local discussants from fields like information science and critical data studies. We welcome empirically grounded papers and posters from across the subfields of anthropology on topics including, but not limited to:

  • Contests over how data is structured and circulated within and beyond the workplace
  • Dynamics of job creation, transformation, and loss in the data economy
  • Embeddedness of the data economy in other social institutions
  • Failures and blockages in the datafication of work and economic activity
  • Implications of Indigenous, national, and regional efforts to assert data sovereignty
  • Disproportionate impacts of datafication on marginalized communities
  • Representations and erasures of vulnerable populations through datafication
  • Environmental impacts of data-intensive work practices
  • Linkages between datafication and financialization
  • Predigital data economies and the archaeological record
  • DNA and genetic data as sites for the accumulation of value
  • Changing approaches to data management in the work of anthropology
  • Uses of anthropological data in UX research and other applied contexts

Submissions will open in October 2023. Questions or suggestions? Please contact Marcel LaFlamme (mlaflamme@wpi.edu) and/or Alex Blanchette (alex.blanchette@tufts.edu) on behalf of the organizing team.

Works Cited

Douglas-Jones, Rachel, Antonia Walford, and Nick Seaver. 2021. “Introduction: Towards an anthropology of data.” Journal of the Royal Anthropological Institute 38(6): 9–25.

Milner, Yeshimabeit, and Amy Traub. 2021. “Data capitalism and algorithmic racism.” Report, Data for Black Lives. https://d4bl.org/reports/7-data-capitalism-and-algorithmic-racism

Sánchez-Monedero, Javier, and Lina Dencik. 2019. “The datafication of the workplace.” Working paper, Data Justice Lab, Cardiff University. https://orca.cardiff.ac.uk/id/eprint/125552

Keynote Speaker: Karen Levy

Karen Levy is Associate Professor in the Department of Information Science at Cornell University and associated faculty at Cornell Law School. She researches the legal, social, and ethical dimensions of data-intensive technologies. Levy is a New America National Fellow and a Fellow of the Canadian Institute for Advanced Research, and is the author of Data Driven: Truckers, Technology, and the New Workplace Surveillance (Princeton University Press).

Travel and Accommodations

Tufts University is a student-centered research university dedicated to the creation and application of knowledge. Tufts is committed to providing transformative experiences for students and faculty in an inclusive and collaborative environment where creative scholars generate bold ideas, innovate in the face of complex challenges, and distinguish themselves as active citizens of the world.

The meeting will be held on the main campus of Tufts in the cities of Medford and Somerville, Massachusetts, five miles from downtown Boston and conveniently located on the Green Line of the MBTA public transit system.

Travel

Attendees within a day’s drive of Boston are encouraged to take a train, carpool, or use other lower-carbon modes of transportation. All other attendees should plan to fly into Boston’s Logan International Airport. Ground transportation from the airport is available via the MBTA Silver Line and numerous additional options. Parking is available on campus from $8/day

Accommodations

The organizing team has elected not to reserve a hotel block in order to provide attendees with maximum flexibility.

The hotel closest to the Tufts campus is the Hyatt Place Boston/Medford, a 20-minute walk from campus, which offers rooms from $240/night. Less expensive rooms are available at the hotels along Monsignor O’Brien Highway near the Lechmere MBTA station, including the Holiday Inn Express & Suites Boston/Cambridge. Attendees can also consider staying at a hostel or a property rented through sites like Airbnb.