|Appears in Collections:||Faculty of Social Sciences Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Knowing public services: Cross-sector intermediaries and algorithmic governance in public sector reform|
public service reform
|Citation:||Williamson B (2014) Knowing public services: Cross-sector intermediaries and algorithmic governance in public sector reform, Public Policy and Administration, 29 (4), pp. 292-312.|
|Abstract:||Discourses of public sector reform in the UK have been shaped in recent years by the participation of new kinds of hybrid cross-sector intermediaries such as think tanks, social enterprises and other third sector organisations. This article provides a documentary analysis of Demos, NESTA and the Innovation Unit as intermediary organisations in public sector reform, exploring their promotion of modes of digital governance and their mobilisation of new software technologies as models for new kinds of governing practices. These intermediary organisations are generating a model of knowing public services that operates through collecting and analysing big data, consisting of personal information and behavioural data on individual service users, in order to co-produce personalised services. Their objective is a new style of political governance based on human-computer interaction and machine learning techniques in which citizens are to be governed as co-producers of personalised services interacting with the algorithms of database software.|
|Rights:||Publisher policy allows this work to be made available in this repository. Published in Public Policy and Administration October 2014 vol. 29 no. 4 pp. 292-312 by SAGE. The original publication is available at: http://ppa.sagepub.com/content/29/4/292|
|WilliamsonB_Intermediaries and algorithmic governance_2014.pdf||489.54 kB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.