Papers
. (2018). iNaturalist as a tool to expand the research value of museum specimens. Applications In Plant Sciences, 6(11), e01193. https://doi.org/10.1002/aps3.1193
. (2018). Industrial employment and income inequality: Evidence from panel data. Structural Change And Economic Dynamics, 45, 84 - 93. https://doi.org/10.1016/j.strueco.2018.02.006
. (2018). The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers In Human Behavior, 85, 183 - 189. https://doi.org/10.1016/j.chb.2018.03.051
. (2018). The internet and jobs opportunities and ambiguous trends. In Policy Insights. Retrieved de https://www.ceps.eu/system/files/PI2018_06_LP-EN-LW_InternetAndJobs.pdf
. (2018). Investigating ergonomics in the context of human-robot collaboration as a sociotechnical system (Vol. 784, pp. 127 - 135; ). In (Vol. 784, pp. 127 - 135). https://doi.org/10.1007/978-3-319-94346-6_12
. (2018). Is IT changing the world? Conceptions of causality for information systems theorizing. Mis Quarterly, 42(4), 1255-1280. Retrieved de https://dl.acm.org/citation.cfm?id=3370119.3370131
. (2018). Lecture Notes in Computer ScienceArtificial General IntelligenceTowards a Sociological Conception of Artificial Intelligence (Vol. 10999, pp. 130 - 139; ). In (Vol. 10999, pp. 130 - 139). https://doi.org/10.1007/978-3-319-97676-1
. (2018). Lecture Notes in Computer ScienceDesign, User Experience, and Usability: Theory and PracticeComparing Human Against Computer Generated Designs: New Possibilities for Design Activity Within Agile Projects (Vol. 10918, pp. 693 - 710; ). In (Vol. 10918, pp. 693 - 710). https://doi.org/10.1007/978-3-319-91797-9_48
. (2018). A literature Analysis of Research on Artificial Intelligence in Management Information System (MIS). In Americas Conference on Information Systems.
. (2018). Looking though the Pygmalion Lens. Ai & Society, 33(4), 459 - 465. https://doi.org/10.1007/s00146-018-0866-0
. (2018). Machine intelligence: Blessing or curse? It depends on us! (pp. 25 - 39; ). In (pp. 25 - 39). https://doi.org/10.1007/978-3-319-90869-4_4
. (2018). Machine Learning for Ecology and Sustainable Natural Resource ManagementUse of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook (pp. 27 - 61; ). In (pp. 27 - 61). https://doi.org/10.1007/978-3-319-96978-7_2
. (2018). Machine Learning for Ecology and Sustainable Natural Resource ManagementMachine Learning and ‘The Cloud’ for Natural Resource Applications: Autonomous Online Robots Driving Sustainable Conservation Management Worldwide? (pp. 353 - 377; ). In (pp. 353 - 377). https://doi.org/10.1007/978-3-319-96978-7_18
. (2018). Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective. In , Machine Learning for Ecology and Sustainable Natural Resource Management (pp. 3 - 26). https://doi.org/10.1007/978-3-319-96978-7_1
. (2018). Machine learning, social learning and the governance of self-driving cars. Social Studies Of Science, 48, 25-56. https://doi.org/10.1177/0306312717741687
. (2018). Machines as Teammates: A Collaboration Research Agenda. In Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.055
SeeberEtAl_2018_MachinesAsTeammates.pdf (949.98 KB). (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, (77). https://doi.org/10.1186/s13643-018-0740-7
. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, 7(1). https://doi.org/10.1186/s13643-018-0740-7
. (2018). Making Sure We Don’t Forget the Basics When Using Machine Learning. Jnci: Journal Of The National Cancer Institute, 111(6), 529 - 530. https://doi.org/10.1093/jnci/djy179
. (2018). Managing talented worker in the era of new psychological contract. Jurnal Aplikasi Manajemen, 16(1), 20 - 26. https://doi.org/10.21776/ub.jam.2018.016.01.03
. (2018). Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health. Bmj Leader, 2(2), 59 - 63. https://doi.org/10.1136/leader-2018-000071
. (2018). A method to link advances in Artificial Intelligence to occupational abilities. Aea Papers And Proceedings, 108, 54 - 57. https://doi.org/10.1257/pandp.20181021
. (2018). New education models for the future of work force. Retrieved de http://ftp.iza.org/pp143.pdf
. (2018). The nordic future of work drivers, institutions, and politics. In The future of work: opportunities and challenges for the nordic models. Retrieved de https://norden.diva-portal.org/smash/get/diva2:1265618/FULLTEXT01.pdf