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    Making the Most of Mess

    Reliability and Policy in Today's Management Challenges

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    Author(s)
    Roe, Emery
    Collection
    Knowledge Unlatched (KU)
    Number
    100991
    Language
    English
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    Abstract
    In Making the Most of Mess, Emery Roe emphasizes that policy messes cannot be avoided or cleaned up; they need to be managed. He shows how policymakers and other professionals can learn these necessary skills from control operators who manage large critical infrastructures such as water supplies, telecommunications systems, and electricity grids. The ways in which they prevent major accidents and failures offer models for policymakers and other professionals to manage the messes they face. Throughout, Roe focuses on the global financial mess of 2008 and its ongoing aftermath, showing how mismanagement has allowed it to morph into other national and international messes. More effective management is still possible for this and many other policy messes but that requires better recognition of patterns and formulation of scenarios, as well as the ability to translate pattern and scenario into reliability.
    URI
    http://library.oapen.org/handle/20.500.12657/30263
    Keywords
    Political Science; Pattern recognition
    DOI
    10.1215/9780822395690
    ISBN
    9780822395690
    OCN
    841050413
    Publisher
    Duke University Press
    Publisher website
    https://www.dukeupress.edu/
    Publication date and place
    Durham, NC, 2013-03-07
    Grantor
    • Knowledge Unlatched - 100991 - KU Select 2017: Backlist Collection
    Public remark
    Relevant Wikipedia page: Pattern recognition - https://en.wikipedia.org/wiki/Pattern_recognition
    Rights
    https://creativecommons.org/licenses/arr/4.0/legalcode
    • Imported or submitted locally

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    License

    • 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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