Big data and Dahl's challenge of democratic governance

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Big data applications have been acclaimed as potentially transformative for the public sector. But, despite this acclaim, most theory of big data is narrowly focused around technocratic goals. The conceptual frameworks that situate big data within democratic governance systems recognizing the role of citizens are still missing. This paper explores the democratic governance impacts of big data in three policy areas using Robert Dahl's dimensions of control and autonomy. Key impacts and potential tensions are highlighted. There is evidence of impacts on both dimensions, but the dimensions conflict as well as align in notable ways and focused policy efforts will be needed to find a balance.
Original languageEnglish
Pages (from-to)1-21
Number of pages21
JournalReview of Policy Research
DOIs
Publication statusE-pub ahead of print - 2019

Fingerprint

governance
policy area
autonomy
conceptual framework
public sector
citizen
evidence
policy
conflict

Cite this

@article{aa0d2b35b16648e79e8d78dc04d455ab,
title = "Big data and Dahl's challenge of democratic governance",
abstract = "Big data applications have been acclaimed as potentially transformative for the public sector. But, despite this acclaim, most theory of big data is narrowly focused around technocratic goals. The conceptual frameworks that situate big data within democratic governance systems recognizing the role of citizens are still missing. This paper explores the democratic governance impacts of big data in three policy areas using Robert Dahl's dimensions of control and autonomy. Key impacts and potential tensions are highlighted. There is evidence of impacts on both dimensions, but the dimensions conflict as well as align in notable ways and focused policy efforts will be needed to find a balance.",
author = "Alex Ingrams",
year = "2019",
doi = "10.1111/ropr.12331",
language = "English",
pages = "1--21",
journal = "Review of Policy Research",
issn = "1541-1338",
publisher = "Wiley-Blackwell/John Wiley & Sons",

}

Big data and Dahl's challenge of democratic governance. / Ingrams, Alex.

In: Review of Policy Research, 2019, p. 1-21.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Big data and Dahl's challenge of democratic governance

AU - Ingrams, Alex

PY - 2019

Y1 - 2019

N2 - Big data applications have been acclaimed as potentially transformative for the public sector. But, despite this acclaim, most theory of big data is narrowly focused around technocratic goals. The conceptual frameworks that situate big data within democratic governance systems recognizing the role of citizens are still missing. This paper explores the democratic governance impacts of big data in three policy areas using Robert Dahl's dimensions of control and autonomy. Key impacts and potential tensions are highlighted. There is evidence of impacts on both dimensions, but the dimensions conflict as well as align in notable ways and focused policy efforts will be needed to find a balance.

AB - Big data applications have been acclaimed as potentially transformative for the public sector. But, despite this acclaim, most theory of big data is narrowly focused around technocratic goals. The conceptual frameworks that situate big data within democratic governance systems recognizing the role of citizens are still missing. This paper explores the democratic governance impacts of big data in three policy areas using Robert Dahl's dimensions of control and autonomy. Key impacts and potential tensions are highlighted. There is evidence of impacts on both dimensions, but the dimensions conflict as well as align in notable ways and focused policy efforts will be needed to find a balance.

U2 - 10.1111/ropr.12331

DO - 10.1111/ropr.12331

M3 - Article

SP - 1

EP - 21

JO - Review of Policy Research

JF - Review of Policy Research

SN - 1541-1338

ER -