Papers
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Algorithms (and the) everyday. Information, Communication & Society, 20(1), 137 - 150. https://doi.org/10.1080/1369118X.2016.1200645
. (2017). Artificial intelligence in healthcare: past, present and future. Stroke And Vascular Neurology, 2(4), 230 - 243. https://doi.org/10.1136/svn-2017-000101
. (2017). Artificial intelligence in healthcare: past, present and future. Stroke And Vascular Neurology, 2(4), 230 - 243. https://doi.org/10.1136/svn-2017-000101
. (2017). Artificial intelligence in research. Science, 357(6346), 28 - 30. https://doi.org/10.1126/science.357.6346.28
. (2017). As amazon pushes forward with robots, workers find new roles. Retrieved de The New York Times website: https://www.nytimes.com/2017/09/10/technology/amazon-robots-workers.html
. (2017). Computing brains: Learning algorithms and neurocomputation in the smart city. Information, Communication & Society, 20(1), 81 - 99. https://doi.org/10.1080/1369118X.2016.1181194
. (2017). Deep learning for healthcare: review, opportunities and challenges. Briefings In Bioinformatics, 19(6), 1236 - 1246. https://doi.org/10.1093/bib/bbx044
. (2017). Deep learning for healthcare: review, opportunities and challenges. Briefings In Bioinformatics, 19(6), 1236 - 1246. https://doi.org/10.1093/bib/bbx044
. (2017). A future that works: Automation, employment and productivity. Mckinsey Global Institute. Retrieved de https://www.mckinsey.com/mgi/overview
. (2017). Jobs lost, jobs gained: Workforce transactions in a time of automation. In McKinsey Global Institute. Retrieved de https://www.mckinsey.com/~/media/mckinsey/featured%20insights/future%20of%20organizations/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi-jobs-lost-jobs-gained-report-december-6-2017.ashx
. (2017). Meet the people who train the robots to do their own jobs. The New York Times. Retrieved de https://nyti.ms/2paCS5X
. (2017). Of robots, Artificial Intelligence, and work. Academy Of Management Perspectives, 31(4), 253 - 255. https://doi.org/10.5465/amp.2017.0199
. (2017). Refining the concept of scientific inference when working with big data. https://doi.org/10.17226/24654
. (2017). Understanding human-machine networks. Acm Computing Surveys, 50(1), 1 - 35. https://doi.org/10.1145/3039868
. (2017). Intelligible Models for HealthCare ( ). In the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 (1721 - 1730). https://doi.org/10.1145/278325810.1145/2783258.2788613
. (2015). Intelligible Models for HealthCare ( ). In the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 (1721 - 1730). https://doi.org/10.1145/278325810.1145/2783258.2788613
. (2015). Toward a computational hermeneutics. Big Data & Society, 2(2), 205395171561380. https://doi.org/10.1177/2053951715613809
. (2015). Beyond convergence of Nano-Bio-Info-Cognitive technologies. In WTEC Study on Convergence of Knowledge, Technology, and Society. Retrieved de http://www.wtec.org/NBIC2/Docs/FinalReport/Pdf-secured/NBIC2-FinalReport-WEB.pdf
. (2013). Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature. Journal Of Informetrics, 5(1), 14 - 26. https://doi.org/10.1016/j.joi.2010.06.004
. (2011). . (2010).
Handbook of psychology work design ( ). https://doi.org/10.1002/0471264385.wei1217
. (2003). Can we ever escape from data overload? A cognitive systems diagnosis. Cognition, Technology & Work, 4(1), 22 - 36. https://doi.org/10.1007/s101110200002
. (2002). Shift changes, updates, and the on-call architecture in space shuttle mission control. Computer Supported Cooperative Work (Cscw), 10(3-4), 317 - 346. https://doi.org/10.1023/A:1012705926828
. (2001). Automation surprises. In Handbook of Human Factors and Ergonomics (pp. 1926–1943).
. (1997).