TY - JOUR
T1 - Ihde's missing sciences
T2 - Postphenomenology, big data, and the human sciences
AU - Susser, Daniel
N1 - Publisher Copyright:
© 2016 Philosophy Documentation Center. All rights reserved.
PY - 2016
Y1 - 2016
N2 - In Husserl's Missing Technologies, Don Ihde urges us to think deeply and critically about the ways in which the technologies utilized in contemporary science structure the way we perceive and understand the natural world. In this paper, I argue that we ought to extend Ihde's analysis to consider how such technologies are changing the way we perceive and understand ourselves too. For it is not only the natural or “hard” sciences which are turning to advanced technologies for help in carrying out their work, but also the social and “human” sciences. One set of tools in particular is rapidly being adopted-the family of information technologies that fall under the umbrella of “big data.” As in the natural sciences, big data is giving researchers in the human sciences access to phenomena which they would otherwise be unable to experience and investigate. And like the former, the latter thereby shape the ways those scientists perceive and understand who and what we are. Looking at two case studies of big data-driven research in the human sciences, I begin in this paper to suggest how we might understand these phenomenological and hermeneutic changes.
AB - In Husserl's Missing Technologies, Don Ihde urges us to think deeply and critically about the ways in which the technologies utilized in contemporary science structure the way we perceive and understand the natural world. In this paper, I argue that we ought to extend Ihde's analysis to consider how such technologies are changing the way we perceive and understand ourselves too. For it is not only the natural or “hard” sciences which are turning to advanced technologies for help in carrying out their work, but also the social and “human” sciences. One set of tools in particular is rapidly being adopted-the family of information technologies that fall under the umbrella of “big data.” As in the natural sciences, big data is giving researchers in the human sciences access to phenomena which they would otherwise be unable to experience and investigate. And like the former, the latter thereby shape the ways those scientists perceive and understand who and what we are. Looking at two case studies of big data-driven research in the human sciences, I begin in this paper to suggest how we might understand these phenomenological and hermeneutic changes.
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U2 - 10.5840/techne201672754
DO - 10.5840/techne201672754
M3 - Article
AN - SCOPUS:85045286842
SN - 0161-7249
VL - 20
SP - 137
EP - 152
JO - Techne: Research in Philosophy and Technology
JF - Techne: Research in Philosophy and Technology
IS - 2
ER -