Call for Workshop Participation: Algorithms on the Shop Floor: Data-driven Technologies in Organizational Context, Apr 19

Call for Workshop Participation: Algorithms on the Shop Floor: Data-driven Technologies in Organizational Context

Deadline: Applications due April 19, 2019

On June 14, 2019, Data & Society will host a workshop in NYC on the intersection of technology and organizational theory and practice. The workshop arises from an increasing need to understand how automated, algorithmic, AI, or otherwise data-driven technologies are being integrated into organizational contexts and processes.

The workshop will convene researchers who study how new technologies are introduced, incorporated, resisted or maintained within organized groups, and the changes this integration brings. Such changes might include processes (workflows, tasks, “re-skilling,” “changed” skills, augmentation) or in structures (roles, jurisdictions, authority), or other key sociological issues (such as power, culture, diversity, expertise, risk, rationality, legitimacy, and solidarity). In a world where new technologies are being integrated into organizations of all sizes and types, how can we make sense of what gets lost, what gets gained, and what gets changed? Many of these questions are long standing themes in organizational studies and ethnographies examining the social complexities of working on the machine shop floor, to which the title of our workshop alludes. Still, how do such integrations provoke new shifts in power relations and social values?

The range of field sites and research questions appropriate for this event is wide. The only requirements for participation are that: 1) you must be a researcher (with or without an academic affiliation); 2) your research questions must address a dimension of socio-technical practice in the context of a formalized organization.

Key Dates

  • Application Deadline: April 19, 2019
  • Selection Decisions: May 1, 2019
  • Full Paper Deadline: May 28, 2019
  • Workshop: June 14, 2019

To submit your application and find more information about this event, please visit the workshop page.
For questions, email events@datasociety.net

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