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Small, Open, Big: Data and Scientific Knowledge
Journal Title: SOCIOLOGIA E RICERCA SOCIALE  
Author/s:  Sonia Stefanizzi 
Year:  2016 Issue: 109 Language: Italian 
Pages:  10 Pg. 117-126 FullText PDF:  50 KB
DOI:  10.3280/SR2016-109010
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The paper is an introduction to a series of essays discussed in two parallel sessions during a conference organized in Rome on the 25th and 26th of September 2016 by the department of Methodology of the AIS (Italian Association of Sociology). Given the introductory nature of the presentation to the contributions that have accepted the challenge of Big Data, trying to integrate these powerful research instruments with official statistics, surveys and data stores, the goal here is to retrace, through the submitted essays, some of the most noteworthy aspects of Big Data that require careful epistemological and methodological reflection

  1. Z. Bauman (2000), Liquid Modernity, Cambridge, Polity Press; tr. it., Modernità liquida, Bari-Roma, Laterza, 2002.
  2. d. boyd, K. Crawford (2011), Six Provocations for Big Data: Provocations for a Cultural, Technological and Scholarly Phenomenon. A Decade in Internet Time: Symposium on the Dynamics pf the Internet and Society, Oxford, Oxford University Press.
  3. M. Castells (2001), Internet Galaxy, Oxford, Oxford University Press.
  4. M. Castells (2003), The Information Age: Economy, Society and Culture, New York, John Wiley and Sons.
  5. J.E. Dutton, L.M. Roberts, J. Bednar (2010), «Pathways to Positive Identity Construction at Work: Four Type of Positive Identity at Building of Social Resources», Academy of Management Review, 35, pp. 265-93,, 10.5465/amr.2010.48463334DOI: 10.5465/amr.2010.48463334
  6. J.M. Epstein (1999), «Agent-Based Computational Models and Generative Social Science», Complexity, 4, pp. 41-60,, 10.1002/(SICI)1099-0526(199905/06)4:5<41::AID-CPLX9>3.0.CO;2-FDOI: 10.1002/(SICI)1099-0526(199905/06)4:5<41::AID-CPLX9>3.0.CO;2-F
  7. F. Giannotti (2015), Big data e social mining: i dati a saperli ascoltare raccontano storie, http://www.sobigdata.eu/sites/default/files/BigData%26SocialMining_Giannotti.pdf.
  8. J.S. Hajian, J. Domingo-Ferrer, A. Monreale, D. Pedreschi, F. Giannotti (2015), «Discrimination and Privacy aware Patterns», Data Mining and Knowledge Discovery, 29, pp. 1733-82,, 10.1007/s10618-014-0393-7DOI: 10.1007/s10618-014-0393-7
  9. J. Hendler, N. Shadbolt, W. Hall, T. Berners-Lee, D. Weitzner (2008), Web Science: An Interdisciplinary Approach to understanding the Web, Communicationis of the ACM, pp. 60-9.
  10. T. Hey, S. Tansley, K. Tolle (eds.) (2010), The Fourth Paradigm: Data Intensive Scientific Discovery, Redmond, Microsoft Press.
  11. R. Hillard (2012), It’s Time for a New Definition of Big Data, http://mike2.openmethodology. org/blogs/information-development/2012/03/18/its-time-for-a-new-definition-of-big-data/.
  12. T. Kuhn (1962), The Structure of Scientific Revolution, Chicago, Chicago University Press; tr. it., La struttura delle rivoluzioni scientifiche, Torino, Einaudi, 1979.
  13. B. Latour (2005), Reassembling the Social. An Introduction to Actor-net-work-Theory, Oxford, Oxford University Press.
  14. B. Latour (2010), Tarde’s Idea of Quantification, in M. Candea (ed.), The Social after Gabriel Tarde: Debates and Assessments, London, Routledge.
  15. D. Lazer, A.S. Pentland, L. Adamic, S. Aral, A.L. Barabasi, D. Brewer, M. Van Alstyne (2009), «Life in the Network: The Coming Age of Computational Social Science», Science, 323, pp. 721-3,, 10.1126/science.1167742DOI: 10.1126/science.1167742
  16. G. Lovink (2012), Ossessioni collettive: critiche dei social media, Milano, Egea.
  17. L. Manovich (2011), Trending: The Promises and the Challenges of Big Social Data, http://manovich.net/content/04-projects/067-trending-the-promises-and-the-challenges-ofbig-social-data/64-article-2011.pdf.
  18. V. Mayer-Schönberger, K.N. Cukier (2013), Big Data: A Revolution that will transform how we live, work, and think, Boston, Houghton Mifflin Harcourt; tr. it., Big data. Una rivoluzione che trasformerà il nostro modo di vivere e già minaccia la nostra libertà, Milano, Garzanti, 2013.
  19. M. Santangelo, S. Aru, A. Pollio (a c. di) (2013), Smart city. Ibridazioni, innovazioni e inerzie nelle città contemporanee, Roma, Carocci.
  20. R. Scialdone (2013), «Il nuovo ruolo degli utenti nella generazione di contenuti creativi», Diritto mercato tecnologia, http://www.dimt.it/2014/03/13/il-nuovo-ruolo-degli-utenti-nellagenerazione-di-contenuti-creativi/.
  21. G. Tarde (1901), L’opinion et la foule, Paris, Alcan; tr. it. L’opinione e la folla, Napoli, La Città del Sole, 2005.
  22. G. Tarde (1903), The Laws of Imitation, New York, Henry Holt; tr. it., Le leggi dell’imitazione, Torino, Rosenberg & Sellier, 2012.

Sonia Stefanizzi, Small, Open, Big: Data and Scientific Knowledge in "SOCIOLOGIA E RICERCA SOCIALE " 109/2016, pp. 117-126, DOI:10.3280/SR2016-109010

   

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