CFP: CSCW’16 Workshop on Algorithms at Work


CSCW 2016 workshop on Algorithms at Work
CSCW: <>
Sunday, February 28th, 2016
San Francisco, CA, USA

Workshop website: <>

Submission deadline for a short position paper (1-4 pages): December, 30th, 2015
Notification deadline: January 5th, 2016

The algorithms at work workshop critically discusses computational algorithms and the diverse ways in which humans relate to them—focusing particularly upon work practices and investigating how algorithms facilitate, regulate, and require human labor, as well as how humans make sense of and react to them.

The purpose of this workshop is threefold: first, to chart the diversity of algorithmic technologies as well as their application, appropriation, use and presence in work practices; second, to probe analytic vocabularies that account for empirical diversity; third, to discuss implications for design that come out of our understandings of algorithms and the technologies through which they are enacted.

We invite participants to submit a brief 1-4 page position papers with their bio in any format. Participants should email the papers at

Topics may include (but are not limited to):
* Reflection on the current use of algorithms in many digital work platforms such as Uber, TaskRabbit, mTurk, Wikipedia and Upwork
* The role of algorithms and algorithmic technologies in the workplace in all their guises
* How workers engage in sense-making to understand algorithmic management
* Types of new workplaces and work practices that algorithms enable
* Challenges in building a work platforms mediated by algorithms
* Analytic vocabularies for algorithms
* Analysis of meanings that “algorithm” has taken on in CSCW and/or CHI research
* Design studies or ideas for algorithms at work or technologies through which the algorithms are enacted and which enable effective use
* Design principles that promote, rather than stile, worker agency in algorithmic workplace
* Ethical issues for algorithms at work

We welcome early research, as well as more developed analyses.

If you have any questions, please contact us at
Workshop website: <>

Susann Wagenknecht, Siegen University
Min Kyung Lee, Carnegie Mellon University
Caitie Lustig, UC Irvine
Jacki O’Neill, Microsoft Research
Himanshu Zade, Microsoft Research