About the RCN

Members of the WAIM network are developing the understanding needed to jointly design both sides of the human-technology frontier in work settings and using intelligent machines. Join now by clicking .

JASIST Special Issue on “Artificial Intelligence and Work”

Submitted by crowston on Wed, 2020-10-28 21:38

For this special issue of the Journal of the Association for Information Science and Technology (JASIST), we are calling for papers that advance the relationship between artificial Intelligence and work.

Looking for PhD students

Submitted by crowston on Fri, 2020-10-02 12:09

I am looking for PhD students interested in working on research about the future of work with intelligent machines, as well as the work on the Gravity Spy citizen science project. Please email if you're interested and want to talk more.

Impacts of the Use of Machine Learning on Work Design

Crowston, K., & Bolici, F.. (2020). Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. https://doi.org/10.1145/3406499.3415070

Artificial intelligence and the world of work, a co-constitutive relationship

Submitted by crowston on Mon, 2020-07-06 15:50

Check out this new JASIS&T paper based on the 2019 iConference workshop: . Thanks (and congrats) to Carsten, Mohammad, Matt, Karen and Christine!

Call for participation: Virtual paper development workshops for papers on work in the age of intelligent machines

Submitted by crowston on Fri, 2020-07-03 11:48

Our main activity over the past few years has been organizing workshops and an annual conference, but both are on hold due to the ongoing COVID crises. Indeed, with everything that’s going on, research may currently be lower-priority or even on pause for many people. Yet, as a research coordination network, we’d like to provide a small means of social support that may spur you on even in these challenging times. To this end, we are organizing a series of mini paper-development workshops, to be held virtually throughout the summer and perhaps beyond.

Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers

Crowston, K. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. In Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual. Presented at the Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual, Virtual workshop.

WAIM Convergence Conference 2020 postponed

Submitted by crowston on Mon, 2020-03-30 08:23

In light of the ongoing COVID-19 crisis, we have decided to postpone the 3rd annual WAIM Convergence Conference to northern hemisphere fall 2020. A new date and participation information will be posted soon.

CSCW Workshop: Better supporting workers in ML workplaces

This workshop is aimed at bringing together a multidisciplinary group to discuss Machine Learning and its application in the workplace as a practical, everyday work matter. It’s our hope this is a step toward helping us design better technology and user experiences to support the accomplishment of that work, while paying attention to workplace context. Despite advancement and investment in ML business applications, understanding workers in these work contexts have received little attention.

The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning

Harandi, M., Crowston, K., Jackson, C., & Østerlund, C.. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719

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Recent tweets

  • From Forbes: Is Augmented Intelligence The Best Perspective On AI? https://t.co/tui6lxSVEC — 3 months 3 weeks ago
  • From Communications of the ACM: Leveraging Unlabeled Data: https://t.co/YyQne7st6s — 3 months 3 weeks ago
  • From The Next Web: Self-supervised learning is the future of AI: https://t.co/5Izid4EBod — 4 months 6 days ago
  • From the Register: What would machine learning look like if you mixed in DevOps? Wonder no more, we lift the lid on… https://t.co/R0dZk7g86v — 4 months 1 week ago
  • From Car and Driver: The Enemies of the Autonomous Vehicle: https://t.co/UE4Nx2Yevu — 4 months 1 week ago
  • From Baidu via MIT Technology Review: How coronavirus is accelerating a future with autonomous vehicles: https://t.co/yiHGoPr51Z — 4 months 1 week ago
  • From: MIT Technology Review: Self-driving cars are being trained in virtual worlds while the real one is in chaos: https://t.co/nIMr4nJHXL — 4 months 1 week ago
  • https://t.co/WYRgjt34TF for participation: Virtual paper development workshop for papers on work in the age of intelligent machines> — 4 months 3 weeks ago
  • From Cornell via NSF: AI as mediator: ‘Smart’ replies help humans communicate during pandemic: https://t.co/aJEOXqYS7i — 4 months 3 weeks ago
  • A news report about the conference from MIT: https://t.co/GVALJqWRpT — 4 months 3 weeks ago

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