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Problem-solving for problem-solving: Data analytics to identify families for service intervention
Critical Social Policy ( IF 1.802 ) Pub Date : 2021-06-02 , DOI: 10.1177/02610183211020294
Rosalind Edwards 1 , Val Gillies 2 , Sarah Gorin 1
Affiliation  

The article draws on Bacchi’s ideas about problematisation (2020) and links to technological solutionism as governing logics of our age, to explore the double-faceted problem-solving logic operating in the UK family policy and early intervention field. Families with certain characteristics are identified as problematic, and local authorities are tasked with intervening to fix that social problem. Local authorities thus need to identify these families for problem-solving intervention, and data analytics companies will solve that problem for them. In the article, we identify discourses of transmitted deprivation and anti-social behaviour in families and the accompanying costly public sector burden as characteristics that produce families as social problems, and discursive themes around delivering powerful knowledge, timeliness and economic efficiently in data analytic companies’ problem solving claims for their data linkage and predictive analytics systems. These discursive rationales undergird the double-faceted problem-solving for problem-solving logic that directs attention away from complex structural causes.



中文翻译:

为解决问题而解决问题:数据分析以识别家庭进行服务干预

文章借鉴了巴基关于问题化(2020)的观点,以及与作为我们时代统治逻辑的技术解决主义的联系,探索在英国家庭政策和早期干预领域运作的双面问题解决逻辑。具有某些特征的家庭被确定为有问题的,地方当局的任务是进行干预以解决该社会问题。因此,地方当局需要确定这些家庭进行问题解决干预,而数据分析公司将为他们解决这个问题。在这篇文章中,我们将家庭中传播的剥夺和反社会行为的话语以及随之而来的昂贵的公共部门负担确定为导致家庭成为社会问题的特征,以及围绕提供强大知识的话语主题,数据分析公司对其数据链接和预测分析系统的问题解决要求的及时性和经济效率。这些话语理由支持了问题解决逻辑的双重问题解决,将注意力从复杂的结构原因上移开。

更新日期:2021-06-02
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