Papers
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. (2019). Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719
Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB). (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
Impacts_of_ML_for_HAI_2020.pdf (453.59 KB). (2018). Robots and Organization Studies: Why Robots Might Not Want to Steal Your Job. Organization Studies, 017084061876556. https://doi.org/10.1177/0170840618765568
. (2020). Cities of the Future? The Potential Impact of Artificial Intelligence. Ai, 1, 192–197. https://doi.org/10.3390/ai1020012
. (1994). Design concepts of computer-aided integrated manufacturing systems: Work-psychological concepts and empirical findings. International Journal Of Industrial Ergonomics, 17.
. (1994). Design concepts of computer-aided integrated manufacturing systems: Work-psychological concepts and empirical findings. International Journal Of Industrial Ergonomics, 17.
. (2020). Feminist economic geography and the future of work. Epa: Economy And Space, 1–12. https://doi.org/10.1177/0308518X20947101
. (2020). A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. Mobile Networks And Applications, 25, 1075–1083. https://doi.org/10.1007/s11036-020-01530-6
. (2020). No automation please, we're British: Technology and the prospects for work. Cambridge Journal Of Regions, Economy And Society, 13, 117–134. https://doi.org/10.1093/cjres/rsaa003
. (2020). Frameworks for collective intelligence: A systematic literature review. In ACM Computing Surveys (pp. 1–36). https://doi.org/10.1145/3368986
. (2020). Frameworks for collective intelligence: A systematic literature review. In ACM Computing Surveys (pp. 1–36). https://doi.org/10.1145/3368986