Warne, Harry; Dencik, Lina and Hintz, Arne. 2021. Advancing civic participation in algorithmic decision-making: a guidebook for the public sector. Manual. Data Justice Lab, Cardiff. [Report]

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Abstract or Description

We know that the use of data analytics and algorithmic decision-making is growing in the public sector. This can have significant implications for how citizens experience and engage with public services. Yet citizens are often left out of the debate about the development, implementation and uses of these emerging technologies. From planning, procurement, strategy, and general discussion, there are many ways to involve the public. In this guidebook we shed light on some of the ways civic participation can be enhanced in relation to algorithmic decision-making focusing particularly on the public sector.

Item Type:	Report (Manual)
Keywords:	Data analytics, algorithmic decision-making, public sector
Departments, Centres and Research Units:	Media, Communications and Cultural Studies
Date:	2021
Item ID:	37267
Date Deposited:	17 Jul 2024 15:51
Last Modified:	18 Jul 2024 09:42
URI:	https://research.gold.ac.uk/id/eprint/37267

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