Parental social licence for operational data linkage and analytics to identify families for service intervention

国家和地方政府部门和服务部门收集和保存有关家庭的信息，如税收、医疗记录、学生数据、警察记录。这些不同的数据源可以链接在一起，并通过应用算法在业务上使用，以确定需要服务干预的个别家庭，数据链接和分析在内部进行或外包给私人数据分析公司。一方面，数据链接和分析基于预测性风险建模提供更有效的公共服务，以预先解决问题，并以增强成果为目标。另一方面，人们提出了有关数据安全、同意、阻止父母使用服务以及公众接受和信任程度-即社会许可-的问题。这项研究将填补一个重要的知识差距，了解社会许可证的动态和信任的运营数据链接和分析在受抚养儿童的父母之间，在政策制定的背景下，数据链接和分析实践，以告知服务干预措施可能会提前公众知识和同意。具体而言，它将开展一系列相互关联的、系统的和深入的研究活动，以提供多层面的了解：1.通过对国家和地方政府、数据分析公司、慈善机构和倡导团体、育儿网站和主流媒体的报告和讨论内容进行分析，确定数据链接和分析、预测风险建模和家庭干预的各种支持性和关键性理由。通过对儿童的调查，确定父母对数据链接和分析作为家庭生活风险建模和干预的基础的可接受或不可接受的共识，以及来自不同社会群体（例如性别，社会阶层，种族）的父母在社会许可和信任方面的任何差异。1000名受抚养子女的父母。研究不同的社会群体的父母如何表达和谈判他们的观点对运营数据的链接和分析，预测风险建模，并通过举行讨论的潜在利益或危害与多达五个群体，每个组成，例如，母亲或父亲，少数民族父母，富裕或弱势父母，城市或农村居民。4.通过对多达20名家长的个别访谈，探讨他们对家庭服务干预措施的具体看法和经验，以及他们的社会许可参数和对业务数据链接和分析的信任基础。该研究旨在提供一个全面的，动态的和多方面的理解父母的社会许可证和信任的业务数据链接和分析，可以告知公众的理解，政策制定和家庭干预领域的做法。它将：-在整个研究过程中，让来自学术界、法定部门和志愿部门的一系列专家参加一个咨询小组，以帮助在研究的发展过程中提供信息;-帮助公众，特别是家长了解业务数据链接和分析，包括通过信息丰富的动画视频输出;- 将决策者和宣传小组对业务数据联系和家庭干预分析方面问题的理解和考虑纳入制定政策建议的工作，通过研讨会得出结论，并通过简报等方式宣传建议;以及-通过提交会议文件和在同行评审的学术期刊上发表文章，促进学术界对家庭服务领域的社会许可、信任和业务数据联系和分析的理解。

National and local government departments and services collect and hold information about families, such as taxation, medical records, pupil data, police records. These different data sources can be linked together and used operationally through the application of algorithms to identify individual families for service intervention, with data linkage and analysis carried out in-house or outsourced to private data analytic companies. On the one hand, data linkage and analytics offer more efficient public services based on predictive risk modelling to pre-empt problems, and targeting for enhanced outcomes. One the other hand, issues have been raised about data security, consent, deterring parents from using services, and the extent of public acceptance and trust - known as social licence. This study will fill a vital gap in knowledge about the dynamics of social licence and trust for operational data linkage and analytics among parents of dependent children, in a context where policy developments, and data linkage and analytics practices to inform services interventions may be moving ahead of public knowledge and consent. Specifically it will undertake a series of interlinked systematic and in-depth research activities to provide a multidimensional understanding:1. Identify the various supportive and critical rationales for data linkage and analytics, predictive risk modelling, and family intervention by conducting an analysis of the content of reports and discussions by national and local government, data analytic companies, charities and advocacy groups, parenting sites, and mainstream media, reports and discussions.2. Ascertain the consensus among parents about what is acceptable or unacceptable in relation to data linkage and analytics as a basis for risk modelling and intervention in family lives, and any differences between parents from different social groups (e.g. gender, social class, ethnicity) in social licence and trust, through a survey of c. 1000 parents of dependent children.3. Examine how different social groups of parents articulate and negotiate their perspectives on operational data linkage and analytics, predictive risk modelling, and potential benefits or harms through holding discussions with up to five groups each made up of, for example, mothers or fathers, minority ethnic parents, affluent or disadvantaged parents, urban or rural residents.4. Explore the specific views and experiences of parents who are engaging with family service interventions on the data held about them, and the parameters of their social licence and bases for trust in operational data linkage and analytics, through individual interviews with up to 20 of them. The research intends to provide a comprehensive, dynamic and multifaceted understanding of parental social licence for and trust in operational data linkage and analytics that can inform public understanding, policy development, and practices in the field of family intervention. It will:- involve a range of experts from academia, statutory and voluntary sectors in an advisory group throughout the study, to help inform the research as it develops;- help to inform public understanding of operational data linkage and analytics, especially parents, including through an informative animated video output;- feed policy maker and advocacy group understandings and considerations of issues in operational data linkage and analytics for family intervention into the development of policy recommendations from the findings through a workshop, and promotion of recommendations including through briefing papers; and - contribute to academic understanding of social licence, trust and operational data linkage and analytics in the field of family services through delivering conference papers and publishing in targeted peer reviewed academic journals.