Intellectual Craftsmanship and Big Data

Journal title SOCIOLOGIA E RICERCA SOCIALE
Author/s Maria Stella Agnoli
Publishing Year 2016 Issue 2016/109 Language Italian
Pages 11 P. 7-17 File size 55 KB
DOI 10.3280/SR2016-109002
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The article introduces theoretical and methodological issues at the center of the debate surrounding Big Data, which are then discussed and examined in the essays that follow. In considering these, the author refers to the maxims and recommendations that Charles Wright Mills, in the appendix to The Sociological Imagination, addresses to a young scholar at the beginning of his/her studies in the field of social science. The article highlights their enduring relevance in the context of the challenges and opportunities presented to social research by the growing, and presumed, availability, of information stored and organized in large digitized data banks.

  1. C. Anderson (2008), «The End of Theory: The Data Deluge Makes the Scientific Method Obsolete », Wired, June 23, http://www.wired.com/2008/06/pb-theory/.
  2. D. Bennato (2015), Il computer come macroscopio. Big data e approccio computazionale per comprendere i cambiamenti sociali e culturali, Milano, FrancoAngeli.
  3. d. boyd, K. Crawford (2012), «Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon», Information, Communication & Society, XV, 5, pp. 662-79, DOI: 10.1080/1369118X.2012.678878;10.1080/1369118X.2012.677053.BurrelJ.(2014),HowtheMachines«think»:UnderstandingOpacityinMachineLearningAlgorithms,http://ssrn.com/abstract=2660674
  4. R. Conte et al. (2012), «Manifesto of Computational Social Science», The European Physical Journal Special Topics, 214, pp. 325-46, DOI: 10.1140/epjst/e2012-01697-8
  5. T.H. Davenport, P. Barth, R. Bean (2012), «How “Big Data” is Different», Mit Sloan Management Review, LIV, 1, pp. 22-4.
  6. T. Gillespie (2014), The Relevance of Algorithms, in T. Gillespie, P. Boczkowski, K. Foot, Media Technologies: Essays on Communication, Materiality and Society, Cambridge (MA), The Mit Press, pp. 167-94.
  7. V. Mayer-Schönberger, K. Cukier (2013), Big Data: A Revolution that transforms how we work, live, and think, New York, Houghton Mifflin.
  8. M. Mazzotti (2015), «Per una sociologia degli algoritmi», Rassegna italiana di sociologia, LVI, 3-4, pp. 465-76, DOI: 10.1423/81801
  9. R.K. Merton (1968), Social Theory and Social Structure, Glencoe (IL), Free Press; tr. it., Teoria e struttura sociale, Bologna, il Mulino, 2000, vol. I: Teoria sociologica e ricerca empirica.
  10. F. Neresini (2015), «Quando i numeri diventano grandi: che cosa possiamo imparare dalla scienza», Rassegna italiana di sociologia, LVI, 3-4, 2015, numero monografico Il potere dei grandi numeri, pp. 405-32, DOI: 10.1423/81798
  11. M. Savage, R. Burrows (2007), «The Coming Crisis of Empirical Sociology» Sociology, XLI, 5, pp. 885-99, DOI: 10.1177/0038038507080443
  12. P.A. Sorokin (1956), Fads and Foibles in Modern Sociology and Related Sciences, Chicago, Henry Regnery; tr. it., Mode e utopie nella sociologia moderna e scienze collegate, Firenze, Giunti Barbera, 1965.
  13. C. Wright Mills (1959), The Sociological Imagination, New York, Oxford University Press; tr. it., L’immaginazione sociologica, Milano, Il Saggiatore, 1973 (1a ed. 1962).

  • Handbook of Research on Advanced Research Methodologies for a Digital Society Costantino Cipolla, pp.42 (ISBN:9781799884736)
  • What People Leave Behind Barbara Sonzogni, pp.293 (ISBN:978-3-031-11755-8)

Maria Stella Agnoli, L’arte intellettuale al cospetto dei big data in "SOCIOLOGIA E RICERCA SOCIALE " 109/2016, pp 7-17, DOI: 10.3280/SR2016-109002