We must ask critical questions regarding what actors are gaining influence, and regarding why the centrality of government is to be preserved in a dataintensive society. The article recognizes that the transformative capacity of big data—and its artificial intelligence (AI)-based companion data analytics— does not deterministically result from the technologies concerned. Instead, the direction of change depends on both the technical features and the intertwining of big data applications and governmental machinery. In short, the reconfiguration of the government nodality remains an open question. Overall, government is urged to think strategically about its future role within digital ecosystems.

The Nodality Disconnect of Data-Driven Government

Walter Castelnovo
Primo
;
2021-01-01

Abstract

We must ask critical questions regarding what actors are gaining influence, and regarding why the centrality of government is to be preserved in a dataintensive society. The article recognizes that the transformative capacity of big data—and its artificial intelligence (AI)-based companion data analytics— does not deterministically result from the technologies concerned. Instead, the direction of change depends on both the technical features and the intertwining of big data applications and governmental machinery. In short, the reconfiguration of the government nodality remains an open question. Overall, government is urged to think strategically about its future role within digital ecosystems.
2021
https://journals.sagepub.com/doi/metrics/10.1177/0095399721998689
big data, government nodality, cybernetic governance, evidence-based policymaking, citizens’ segmentation
Castelnovo, Valter; Sorrentino, Maddalena
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2105111
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