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    Infrastrukturen der Biosicherheit

    Zur Macht sozio-technischer Prognoseverfahren am Beispiel des Syndromischen Gesundheitsmonitoring in den USA

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    Author(s)
    Füller, Henning
    Collection
    DFG - German Research Foundation
    Language
    German
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    Abstract
    Angesichts unkalkulierbarer Bedrohungsszenarien werden Prognosen und Früherkennung immer wichtiger. Die verfügbaren Werkzeuge hierfür sind selbst politisch operativ und etablieren eine »Zukunft als Katastrophe« mit entsprechenden Konsequenzen. Henning Füller setzt den Fokus auf verbundene Machtwirkungen und zeigt, dass mit Monitoring-Techniken postpolitische Vorentscheidungen performativ getroffen werden. Seine Fallstudie zur Anwendung des indikatorbasierten Verfahrens Syndromic Surveillance in den USA befasst sich exemplarisch unter anderem mit der Bearbeitung öffentlicher Gesundheit als Sicherheitsproblem sowie mit der Etablierung des Ist-Zustands als Horizont des Politischen.
    URI
    https://library.oapen.org/handle/20.500.12657/58106
    Keywords
    Public Health; Datafication; Kritische Sicherheitsforschung; Mensch-Technik-Verhältnisse; Prognose; Früherkennung; Katastrophe; Monitoring; Medizin; Biopolitik; Amerika; Sozialgeographie; Techniksoziologie; Geographie; Prognosis; Early Detection; Catastrophe; Medicine; Biopolitics; America; Social Geography; Sociology of Technology; Geography
    DOI
    10.14361/9783839460214
    ISBN
    9783839460214, 9783837660210, 9783839460214
    Publisher
    transcript Verlag
    Publisher website
    https://www.transcript-verlag.de/
    Publication date and place
    Bielefeld, 2022
    Grantor
    • Humboldt-Universität zu Berlin - [...]
    • Deutsche Forschungsgemeinschaft (DFG)
    Imprint
    transcript Verlag
    Series
    Sozial- und Kulturgeographie, 53
    Classification
    Human geography
    Impact of science and technology on society
    Pages
    282
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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