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INCENSE - Influencing Policy and Practice by Stimulating Public Debate about Census Data

INCENSE - 通过激发有关人口普查数据的公共辩论来影响政策和实践

基本信息

批准号：
ES/K004328/1
负责人：
Jim Ridgway
金额：
$ 19.61万
依托单位：
Durham University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2012
资助国家：
英国
起止时间：
2012 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=ES%2FK004328%2F1
关键词：
INCENSE Influencing Policy Practice Stimulating

项目摘要

The UK census data will be released progressively from July 2012. There is an existing database of census responses from 1951 onwards. Census data are collected primarily to inform social policy - in particular to allow central and local government, health authorities (and others) to target resources effectively and to be proactive when planning housing, education, health and transport services. Here, we will focus on: the implications of demographic changes in ethnicity; religion; and health problems associated with an ageing population.This proposal is a collaboration between the Data Visualisation Centre of the Office for National Statistics and the SMART Centre at Durham University. We propose to present census data in mash-ups - interactive displays that comprise multivariate data and commentaries (such as newspaper articles) using displays that have already been created by SMART and the ONS. A key feature of these displays is that users can explore complex data for themselves, and can form their own opinions about the commentaries that are offered, and can contribute insights, analyses and opinions to forums. We will promote the use of these interactive displays by journalists, politicians and citizens in a variety of ways - via the provision of free applications that can be embedded in websites, and circulated electronically, and via personal contacts, workshops, seminars, and press releases.The research focuses on impact: the extent and nature of the use of these resources, and the consequences of this use. We will track resource use via applications such as Google analytics and hashtags on Twitter, and will analyse impact via counts (website hits, citations in policy documents and newspapers), and in terms of the interpretations made of the data (documenting conceptions, misconceptions, and the use of the same data set to support political arguments across the political spectrum). There is almost no research (outside our group) into ways that multivariate data can be understood by people who are statistically naive. Our research shows that naïve users at school and in colleges (aged 13-18 years) can draw sensible conclusions from multivariate data - and can articulate ideas such as interaction and effect size without formal training. This proposal will explore statistical reasoning by citizens and stakeholders in unconstrained environments.We expect the research to have major political, theoretical and practical consequences. We anticipate having an impact on the political process by increasing the use of evidence in decision making, and by empowering some lobbyists (notably, the 'data driven journalism' movement). We will contribute to the statistical sophistication of journalists. We anticipate that many voters will be better informed, and better able to understand complex evidence (less directly, we hope to increase public perceptions of the value of social science). We anticipate theoretical insights into the processes of political influence; into the cognitive processes of drawing conclusions from complex evidence (both to understand, and to justify pre-existing beliefs). We anticipate practical consequences in terms of ways to communicate multivariate data better, lessons for some aspects of interface design, and in terms of developing well honed mechanisms to influence policy and practice. It is almost certain that new media will emerge (c.f. Facebook) as will new ways of attempting to influence government policy (c.f. 38 degrees). We will respond flexibly. The direct involvement of ONS should ensure that research findings are useful beyond the life of the project; we will also work with Getstats, a major 10 year RSS initiative designed to improve the statistical literacy of citizens, and other groups which share the same mission.

英国人口普查数据将从 2012 年 7 月起逐步发布。现有数据库包含 1951 年以来的人口普查答复。收集人口普查数据主要是为了为社会政策提供信息，特别是让中央和地方政府、卫生当局（和其他机构）能够有效地瞄准资源，并在规划住房、教育、卫生和交通服务时积极主动。在这里，我们将重点关注：种族人口变化的影响；宗教;该提案是英国国家统计局数据可视化中心和杜伦大学 SMART 中心的合作成果。我们建议以混搭形式呈现人口普查数据 - 交互式显示，其中包含多元数据和评论（例如报纸文章），使用 SMART 和 ONS 已经创建的显示。这些显示器的一个关键特征是用户可以自己探索复杂的数据，可以对所提供的评论形成自己的看法，并且可以向论坛贡献见解、分析和意见。我们将以多种方式促进记者、政治家和公民使用这些互动展示——通过提供可嵌入网站并以电子方式传播的免费应用程序，以及通过个人联系、讲习班、研讨会和新闻稿。该研究的重点是影响：使用这些资源的程度和性质，以及这种使用的后果。我们将通过 Google 分析和 Twitter 上的主题标签等应用程序跟踪资源使用情况，并通过计数（网站点击量、政策文件和报纸中的引用）以及对数据的解释（记录概念、误解以及使用同一数据集支持整个政治领域的政治论点）来分析影响。几乎没有研究（在我们小组之外）研究如何让统计学上天真的人理解多元数据。我们的研究表明，学校和大学的新手用户（13-18 岁）可以从多元数据中得出合理的结论，并且无需正式培训即可阐明交互作用和效应大小等想法。该提案将探索公民和利益相关者在不受约束的环境中进行统计推理。我们预计这项研究将产生重大的政治、理论和实践后果。我们预计通过在决策中增加证据的使用以及赋予一些游说者权力（特别是“数据驱动的新闻”运动）来对政治进程产生影响。我们将为记者的统计复杂性做出贡献。我们预计许多选民将获得更好的信息，并且能够更好地理解复杂的证据（不那么直接，我们希望提高公众对社会科学价值的看法）。我们期待对政治影响过程的理论见解；从复杂的证据中得出结论的认知过程（既是为了理解，也是为了证明预先存在的信念）。我们预计在更好地传达多元数据的方式、界面设计某些方面的经验教训以及开发完善的机制来影响政策和实践方面会产生实际后果。几乎可以肯定的是，新媒体将会出现（参见 Facebook），试图影响政府政策的新方式也会出现（参见 38 度）。我们将灵活应对。 ONS 的直接参与应确保研究成果在项目结束后仍然有用；我们还将与 Getstats 合作，这是一项为期 10 年的 RSS 重大计划，旨在提高公民和其他具有相同使命的团体的统计素养。