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- W2739620427 abstract "Pressures toward “data-driven” or “evidence-based” decisions are ubiquitous in contemporary public administration. Implicit in this view, however, is a view of data as an objective representation of observed reality. This paper challenges that approach and explores the ethical implications of a constructive theory of data. Creating data requires some process that narrows the many possible representations of a given state of the world to a single data state. This process is carried out within translation regimes: systems of technical rules and social practices that establish a one-to-one correspondence between a given state of the world and a data state. These regimes also translate the entities about which data is collected into “inforgs,” entities that exist solely as bundles of information. Inforgs significantly complicate the way that data-driven decision processes can be considered representative of citizens, requiring decisionmakers to create constructs that ultimately represent themselves rather than students. Standard approaches to protecting citizen privacy are considerably more problematic in translated data processes. When the individuals exist solely as inforgs as in a data-driven decision process, restrictions on the flow of information destroys or at least degrades the inforg itself, excluding the associated person from the process. I conclude by suggesting that a justice-centered approach to information can help manage these challenges." @default.
- W2739620427 created "2017-08-08" @default.
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- W2739620427 date "2015-01-01" @default.
- W2739620427 modified "2023-09-24" @default.
- W2739620427 title "Citizens as Inforgs: The Challenges of Representation and Privacy in Data-Driven Decision Processes" @default.
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