This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Baweja, B., Donovan, P., Haefele, M., Siddiqi, L., & Smiles, S. (2016). Extreme automation and connectivity: The global, regional, and investment implications of the Fourth Industrial Revolution. UBS White Paper for the World Economic Forum Annual Meeting 2016. Retrieved on October, 1, 2016, from https://www.ubs.com/global/en/about_ubs/follow_ubs/highlights/davos-2016.html.BawejaB.DonovanP.HaefeleM.SiddiqiL.SmilesS.2016Extreme automation and connectivity: The global, regional, and investment implications of the Fourth Industrial RevolutionUBS White Paper for the World Economic Forum Annual Meeting 2016Retrieved on October, 1, 2016, fromhttps://www.ubs.com/global/en/about_ubs/follow_ubs/highlights/davos-2016.htmlSearch in Google Scholar
Bundy, A. (2007). Computational thinking is pervasive. Journal of Scientific and Practical Computing, 1(2), 67–69.BundyA.2007Computational thinking is pervasiveJournal of Scientific and Practical Computing126769Search in Google Scholar
Davenport, T.H., & Patil, D.J. (2012). Data scientist: The sexiest job of the 21st century. Harvard Business Review, 90(10), 70–76.DavenportT.H.PatilD.J.2012Data scientist: The sexiest job of the 21st centuryHarvard Business Review90107076Search in Google Scholar
Dhar, V. (2013). Data science and prediction. Communications of the ACM, 56(12), 64–73.DharV.2013Data science and predictionCommunications of the ACM5612647310.1145/2500499Search in Google Scholar
Gartner, Inc. (2016). Organizing for big data through better process and governance. Retrieved on September 15, 2016, from https://www.gartner.com/doc/3002918?ref=SiteSearch&sthkw=citizen%20data%20scientist&fnl=search&srcId=1-3478922254.GartnerInc.2016Organizing for big data through better process and governanceRetrieved on September 15, 2016, fromhttps://www.gartner.com/doc/3002918?ref=SiteSearch&sthkw=citizen%20data%20scientist&fnl=search&srcId=1-3478922254Search in Google Scholar
Kagermann, H., Helbig, J., Hellinger, A., & Wahlster, W. (2013). Recommendations for implementing the strategic initiative Industrie 4.0: Securing the future of the German manufacturing industry; final report of the Industrie 4.0 Working Group. Retrieved on September 15, 2016, from http://www.manufacturing-policy.eng.cam.ac.uk/documents-folder/policies/germany-recommendations-for-implementing-the-strategic-initiative-industrie-4-0-bmbf-aquatic/view.KagermannH.HelbigJ.HellingerA.WahlsterW.2013Recommendations for implementing the strategic initiative Industrie 4.0: Securing the future of the German manufacturing industry; final report of the Industrie 4.0 Working GroupRetrieved on September 15, 2016, fromhttp://www.manufacturing-policy.eng.cam.ac.uk/documents-folder/policies/germany-recommendations-for-implementing-the-strategic-initiative-industrie-4-0-bmbf-aquatic/viewSearch in Google Scholar
Lasi, H., Fettke, P., Kemper, H., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242.LasiH.FettkeP.KemperH.FeldT.HoffmannM.2014Industry 4.0Business & Information Systems Engineering6423924210.1007/s12599-014-0334-4Search in Google Scholar
Mayer-Schonberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Boston, MA: Houghton Mifflin Harcourt.Mayer-SchonbergerV.CukierK.2013Big data: A revolution that will transform how we live, work, and thinkBoston, MAHoughton Mifflin HarcourtSearch in Google Scholar
Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big Data, 1(1), 51–59.ProvostF.FawcettT.2013Data science and its relationship to big data and data-driven decision makingBig Data11515910.1089/big.2013.150827447038Search in Google Scholar
Schwab, K. (2016). The fourth industrial revolution: What it means, how to respond. World Economic Forum. Retrieved on October 20, 2016, from https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond.SchwabK.2016The fourth industrial revolution: What it means, how to respondWorld Economic ForumRetrieved on October 20, 2016, fromhttps://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respondSearch in Google Scholar
Stanton, J. (2012). An introduction to data science. Retrieved on September 15, 2016, from http://ischool.syr.edu/media/documents/2012/3/datasciencebook1_1.pdf.StantonJ.2012An introduction to data scienceRetrieved on September 15, 2016, fromhttp://ischool.syr.edu/media/documents/2012/3/datasciencebook1_1.pdfSearch in Google Scholar
Song, I.-Y., & Zhu, Y. (2016). Big data and data science: What should we teach? Expert Systems, 33(4), 364–373.SongI.-Y.ZhuY.2016Big data and data science: What should we teach?Expert Systems33436437310.1111/exsy.12130Search in Google Scholar
Storey, V., & Song, I.-Y. (2017). Big data technologies and management: What conceptual modeling can do? Data & Knowledge Engineering, 108, 50–67.StoreyV.SongI.-Y.2017Big data technologies and management: What conceptual modeling can do?Data & Knowledge Engineering108506710.1016/j.datak.2017.01.001Search in Google Scholar
Wing, J.M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.WingJ.M.2006Computational thinkingCommunications of the ACM493333510.1109/VLHCC.2011.6070404Search in Google Scholar
Wing, J.M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725.WingJ.M.2008Computational thinking and thinking about computingPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences36618813717372510.1109/IPDPS.2008.4536091Search in Google Scholar
Zhu, Y., Yan, E., & Song, M. (2016). Understanding the evolving academic landscape of library and information science through faculty hiring data. Scientometrics, 108(3), 1461–1478.ZhuY.YanE.SongM.2016Understanding the evolving academic landscape of library and information science through faculty hiring dataScientometrics10831461147810.1007/s11192-016-2033-zSearch in Google Scholar
