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Organizer: Mary Beth Watson-Manheim, U. of Illinois at Chicago
Organizer: Kevin Crowston, Syracuse U.
Organizer: Jeffrey V. Nickerson, Stevens Institute of Technology
Organizer: Ingrid Erickson, Syracuse U. School of Information
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| This all-day PDW aims to promote disciplinary convergence among its participants in relation to work in the age of intelligent machines. Convergence is defined by the National Science Foundation as “the deep integration of knowledge, techniques, and expertise from multiple fields to form new and expanded frameworks” (NSF, 2017). Using this idea as an organizing principle, the PDW will introduce participants to the idea that only by embracing research from other disciplines can researchers inform our emergent conceptual foundations and concomitant strategies in relation to the transformation of work via artificial intelligence. The PDW will pursue three goals: 1) identifying specific research problems around work and intelligent machines that require an interdisciplinary, convergent approach; 2) discussing how to develop a common language base that can facilitate interdisciplinary collaboration among researchers; and 3) imagining the necessary resources to support convergent research, including information and cyber- infrastructure needs. |
| The workshop will be sponsored by the newly NSF-funded Research Coordination Network on Work in the Age of Intelligent Machines (NSF 17- 45463, https://waim.network/). Pre-registration is required for this session. To register online, please visit https://secure.aom.org/PDWReg. If you want to attend the PDW, please submit a short position statement following the instructions at https://easychair.org/cfp/waimaom2018. The deadline to register online is August 9, 2018. |
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