Abstract
Answering the question posed by the title of this contribution might seem easy and straightforward: yes.
References
Amaturo, E., & Aragona, B. (2016). La “rivoluzione” dei nuovi dati: quale metodo per il futuro, quale futuro per il metodo?. In F. Corbisiero and E. Ruspini (Eds.), Sociologia del futuro. Studiare la società del ventunesimo secolo (pp. 25–50). Milano: CEDAM.
Boyd, D., & Crawford, K. (2012). Critical questions for big data. Information, Communication and Society, XV(5), 662–679. doi:10.1080/1369118X.2012.678878.
Highfield, T., Harrington, S., & Bruns, A. (2013). Twitter as a technology for audiencing and fandom. Information Communication and Society, 16(3), 315–339.
Keim, D., Kohlhammer, J., Ellis, G., & Mansmann, F. (2010). Mastering the information age solving problems with visual analytics. Eurographics Association.
Kitchin, R. (2014). Big data, new epistemologies and paradigm shifts. Big Data & Society, I(1), 1–12. doi:10.1177/2053951714528481.
Lazer, D., et al. (2009). Life in the network: The coming age of computational social science. Science, CCCXXIII(5915), 721–723.
Margetts, H., & Sutcliffe, D. (2013). Addressing the policy challenges and opportunities of “Big data”. Policy & Internet, 5(2), 139–146.
Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work and think. London: John Murray.
Supiot, A. (2016). La Gouvernance par les nombres. Paris: Fayard.
The Economist. (2010). The data deluge: Businesses, governments and society are only starting to tap its vast potential, print edition.
Uprichard, E., Burrows, R., & Parker, S. (2009, February 25). Geodemographic code and the production of space. Environment and Planning A, 41(12), 2823–2835.
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Amaturo, E., Aragona, B. (2017). Introduction. In: Lauro, N., Amaturo, E., Grassia, M., Aragona, B., Marino, M. (eds) Data Science and Social Research. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-55477-8_1
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