Papers

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Data Science for Undergraduates. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
Møller, N. L. Holten, Bjørn, P., Villumsen, J. Christoffe, Hancock, T. C. Hansen, Aritake, T., & Tani, S.. (2017). Data tracking in search of workflows (C. P. Lee, Poltrock, S., Barkhuus, L., Borges, M., & Kellogg, W., Trans.). In the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 (2153 - 2165). https://doi.org/10.1145/2998181.2998296
Markus, L. M. (2017). Datification, organizational strategy, and is research: What’s the score? . The Journal Of Strategic Information Systems, 26(3), 233 - 241. https://doi.org/10.1016/j.jsis.2017.08.003
Günther, W. Arianne, Mehrizi, M. H. Rezazad, Huysman, M., & Feldberg, F.. (2017). Debating big data: A literature review on realizing value from big data. The Journal Of Strategic Information Systems, 26(3), 191 - 209. https://doi.org/10.1016/j.jsis.2017.07.003
Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N. N. C., et al.. (2017). A deep learning approach for quantifying tumor extent. Scientific Reports, 7(1). https://doi.org/10.1038/srep46450
Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T.. (2017). Deep learning for healthcare: review, opportunities and challenges. Briefings In Bioinformatics, 19(6), 1236 - 1246. https://doi.org/10.1093/bib/bbx044
Cai, L., Fan, L., Lai, W., LONG, Y., Wang, P., & Xin, X.. (2018). DEFINITION, APPLICATION AND INFLUENCE OF ARTI FICIAL INTELLIGENCE ON DESIGN INDUSTRIES. Landscape Architecture Frontiers, 6(2), 56. https://doi.org/10.15302/J-LAF-20180207
Robinson, R. M., McCount, M. J., Marathe, A. R., Nothwang, W. D., & Doucette, E. A.. (2016). Degree of Automation in Command and Control Decision Support Systems. In IEEE International Conference on Systems, Man and Cybernetics. Presented at the IEEE International Conference on Systems, Man and Cybernetics. Retrieved de https://ieeexplore.ieee.org/document/7844402
Burden, D. J. H. (2009). Deploying embodied AI into virtual worlds. Knowledge-Based Systems, 22(7), 540 - 544. https://doi.org/10.1016/j.knosys.2008.10.001
Gill, K. S. (2019). Designing AI futures: A symbiotic vision (Vol. 1083, pp. 3 - 18; A. G. Kravets, Groumpos, P. P., Shcherbakov, M., & Kultsova, M., Eds.). In (Vol. 1083, pp. 3 - 18). https://doi.org/10.1007/978-3-030-29743-5_1
Orlikowski, W. J., & C. Iacono, S.. (2001). Desperately seeking "IT" in IT research: A call to theorizing the IT artifact. Information Systems Researchinformation Systems Research, 12, 121–134.
Wright, S. A., & Schultz, A. E.. (2018). Developing an ethical framework. Business Horizons, 61(6), 823 - 832. https://doi.org/10.1016/j.bushor.2018.07.001
Leveringhaus, A. (2018). Developing robots: The need for an ethical framework. European View, 17(1), 37 - 43. https://doi.org/10.1177/1781685818761016
Baudoin, F., Bretier, P., & Corruble, V.. (2005). A dialogue agent with adaptive and proactive capabilities. In IEEE/WIC/ACM International Conference on Intelligent Agent TechnologyIEEE/WIC/ACM International Conference on Intelligent Agent Technology (293 - 296). https://doi.org/10.1109/IAT.2005.8
Berger, T., & Frey, C. Benedikt. (2016). Did the Computer Revolution shift the fortunes of U.S. cities? Technology shocks and the geography of new jobs. Regional Science And Urban Economics, 57, 38 - 45. https://doi.org/10.1016/j.regsciurbeco.2015.11.003

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