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Workshop: Work in the Age of Intelligent Machines

dc.contributor.authorErickson, Ingrid
dc.contributor.authorRobert, Lionel + Jr.
dc.contributor.authorCrowston, Kevin
dc.contributor.authorNickerson, Jeffrey
dc.date.accessioned2017-10-24T16:51:46Z
dc.date.available2017-10-24T16:51:46Z
dc.date.issued2018-01-07
dc.identifier.citationErickson, I.M., Robert, L. P., Crowston, K. and Nickerson, J. (2018). Work in the Age of Intelligent Machines, Proceedings of the 20th ACM International Conference on Supporting Group Work (GROUP 2018). January 7–10, 2018, Sundial Island, FL, USAen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/138939
dc.description.abstractThis all-day workshop aims to promote convergence among its participants on research related to working with intelligent machines. We define intelligent machines as both material (e.g., robots) and immaterial (e.g., algorithms) computing technologies that can be characterized by autonomy, the ability to learn, and the ability to interact with other systems and with humans. The workshop has three goals: identifying specific research problems around work and intelligent machines, developing a common language base that can facilitate interdisciplinary collaboration among researchers, and identifying information and cyber-infrastructure needs to support convergent research. Workshop activities will facilitate interdisciplinary dialogue and strive to generate high-impact research ideas to advance each of these goals.en_US
dc.description.sponsorshipNSF 17-45463en_US
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.subjectworken_US
dc.subjectfuture of worken_US
dc.subjectintelligent machinesen_US
dc.subjectrobotsen_US
dc.subjectautomated worken_US
dc.subjecttransforming worken_US
dc.subjectredesigning worken_US
dc.subjectcyber-infrastructureen_US
dc.subjectMachine ageen_US
dc.titleWorkshop: Work in the Age of Intelligent Machinesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationotherSyracuse University School of Information Studiesen_US
dc.contributor.affiliationotherStevens Institute of Technologyen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/138939/1/Erickson et al. 2018.pdf
dc.identifier.doihttps://doi.org/10.1145/3148330.3152159
dc.identifier.sourceProceedings of the 20th ACM International Conference on Supporting Group Worken_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Erickson et al. 2018.pdf : Main article
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)


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