Big Data, new epistemologies and paradigm shifts

@article{Kitchin2014BigDN,
  title={Big Data, new epistemologies and paradigm shifts},
  author={R. Kitchin},
  journal={Big Data & Society},
  year={2014},
  volume={1}
}
  • R. Kitchin
  • Published 2014
  • Sociology
  • Big Data & Society
  • This article examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines. In particular, it critically explores new forms of empiricism that declare ‘the end of theory’, the creation of data-driven rather than knowledge-driven science, and the development of digital humanities and… CONTINUE READING
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    References

    SHOWING 1-10 OF 92 REFERENCES
    Rethinking empirical social sciences
    • 68
    • PDF
    The Computational Turn: Thinking About the Digital Humanities
    • 195
    • Highly Influential
    • PDF
    Big Data and Their Epistemological Challenge
    • 119
    • PDF
    Big data and human geography
    • 334
    • PDF
    CRITICAL QUESTIONS FOR BIG DATA
    • 2,863
    • PDF
    Situating knowledges: positionality, reflexivities and other tactics
    • 1,782
    The Structure of Scientific Revolutions
    • 34,122
    • PDF
    Data-driven sciences: From wonder cabinets to electronic databases.
    • B. Strasser
    • History, Medicine
    • Studies in history and philosophy of biological and biomedical sciences
    • 2012
    • 85
    • PDF
    The Real-Time City? Big Data and Smart Urbanism
    • 878
    • PDF
    Data-Intensive Science: A New Paradigm for Biodiversity Studies
    • 255
    • PDF