Traversing Digital Babel

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    Traversing Digital Babel
    By: Alon Peled
    Publisher:
    The MIT Press
    Print ISBN: 9780262027878, 0262027879
    eText ISBN: 9780262319874, 026231987X
    Copyright year: 2014
    Format: EPUB
    Available from $ 31.99 USD
    SKU 9780262319874
    The computer systems of government agencies are notoriously complex. New technologies are piled on older technologies, creating layers that call to mind an archaeological dig. Obsolete programming languages and closed mainframe designs offer barriers to integration with other agency systems. Worldwide, these unwieldy systems waste billions of dollars, keep citizens from receiving services, and even -- as seen in interoperability failures on 9/11 and during Hurricane Katrina -- cost lives. In this book, Alon Peled offers a groundbreaking approach for enabling information sharing among public sector agencies: using selective incentives to nudge agencies to exchange information assets. Peled proposes the establishment of a Public Sector Information Exchange (PSIE), through which agencies would trade information. After describing public sector information sharing failures and the advantages of incentivized sharing, Peled examines the U.S. Open Data program, and the gap between its rhetoric and results. He offers examples of creative public sector information sharing in the United States, Australia, Brazil, the Netherlands, and Iceland. Peled argues that information is a contested commodity, and draws lessons from the trade histories of other contested commodities -- including cadavers for anatomical dissection in nineteenth-century Britain. He explains how agencies can exchange information as a contested commodity through a PSIE program tailored to an individual country's needs, and he describes the legal, economic, and technical foundations of such a program. Touching on issues from data ownership to freedom of information, Peled offers pragmatic advice to politicians, bureaucrats, technologists, and citizens for revitalizing critical information flows.
     

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