Geographies of Ethnic Diversity and Inequalities (GEDI)

种族多样性和不平等的地理 (GEDI)

基本信息

  • 批准号:
    ES/W012499/1
  • 负责人:
  • 金额:
    $ 97.95万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2023
  • 资助国家:
    英国
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    未结题

项目摘要

This project aims to provide timely and impactful evidence on the ways in which ethnic diversity has grown, and the nature of the differing - and persistently unequal - neighbourhood experiences of people from different ethnic backgrounds. Where, and why, are neighbourhoods becoming more ethnically diverse? What are the processes that shape these local patterns? Have ethnic inequalities widened, and what is the geography of disadvantage? We will answer these, and related, questions through an innovative integration of previously disparate research strands on ethnic diversity, residential segregation, ethnic inequalities, and internal migration. The UK's population, households and neighbourhoods are becoming increasingly ethnically and racially mixed and diverse. Alongside these demographic changes, the uneven impacts of, for example, the COVID-19 pandemic, austerity measures, and Brexit, have shone a light on persistent ethnic and racial disadvantages, between people and across local areas. The Census provides the most comprehensive data available on small area ethnic group populations, and the publication of 2021 data thus represents an important opportunity to understand societal change at the local level. The project team will undertake a combination of rapid response and sustained analyses of 2021 Census ethnic group data and explore change over time (from 1991) in England and Wales, expanding to Northern Ireland and Scotland as 2021/22 Census data are published. The proposed collaboration between the Office for National Statistics (ONS), leading UK- and US-based scholars in the field, and project partners the Royal Geographical Society (with IBG) and Runnymede Trust, brings together a team with significant collective experience and expertise. Supported by a Project Advisory Group from central and local government and the third sector, the team will explore pressing research questions, advance the scholarly literature, and generate a rich and robust evidence base for a diversity of user groups.This 38-month project has three main, inter-related, work packages (WPs), each of which offer considerable originality. Each WP is aligned with Census data publication phases, and with complementary academic outputs and impact-related activities. WP1 (Ethnic diversity, segregation and mixing) aims to map and analyse the new, emerging and stable geographies of ethnic diversity, to understand better the dynamics of neighbourhood transitions by considering layers of mixing between individuals, households and the spaces in which people live, and to explore how ethnic, socio-economic and age segregation inter-relate. WP2 (Socio-spatial ethnic inequalities) will document, analyse and explain the extent and persistence of local ethnic inequalities, and how experiences of neighbourhood deprivation vary between ethnic groups. WP3 (Internal migration and (im)mobility) will pay greater attention to the processes that shape ethnic residential patterns, including the role of ethnic group differences in internal migration in changing neighbourhood ethnic concentrations and deprivation.Academic outputs will include articles in leading international journals, conference presentations, and project events. Pathways to impact are interwoven throughout the project to ensure that the findings are accessible, open, and useful for a range of user beneficiaries (e.g., Departments for Levelling Up, Housing and Communities, and Work and Pensions, Local Authority (LA) and third sector analysts, inquiring citizens). Outputs include co-produced ONS Census Topic Publications, 2021 Census briefings, LA analysis toolkit (briefings, 'how to' guide, workshops), school educational resources, knowledge exchange events, and a dedicated web resource (outputs, code, interactive mapping tool). The project has significant potential to transform policy, political and public understandings of how the UK's population, and its neighbourhoods, are changing.
该项目旨在提供及时和有影响力的证据,说明族裔多样性的增长方式,以及不同族裔背景的人的不同--和长期不平等--邻里经历的性质。社区的种族多样性在哪里变得更加多样化?为什么?形成这些局部模式的过程是什么?种族不平等扩大了吗?不利的地理位置是什么?我们将通过创新地整合以前不同的关于种族多样性、居民隔离、种族不平等和国内移民的研究线索来回答这些和相关的问题。英国的人口、家庭和社区正变得越来越种族混杂和多样化。除了这些人口结构的变化,新冠肺炎疫情、紧缩措施和英国退欧等因素的不均衡影响,也暴露了人与人之间以及整个地区持续存在的民族和种族劣势。人口普查提供了关于小区域族裔人口的最全面的数据,因此,2021年数据的公布是了解地方一级社会变化的一个重要机会。该项目团队将对2021年人口普查种族数据进行快速反应和持续分析,并探索英格兰和威尔士随着时间的推移(自1991年以来)的变化,随着2021/22年人口普查数据的公布,变化范围扩大到北爱尔兰和苏格兰。英国国家统计局(ONS)、该领域在英国和美国的领先学者,以及项目合作伙伴皇家地理学会(与IBG)和Runnymede Trust之间拟议的合作,汇集了一个拥有丰富集体经验和专业知识的团队。在来自中央和地方政府以及第三部门的项目咨询小组的支持下,该团队将探索紧迫的研究问题,推进学术文献,并为不同的用户群体产生丰富而有力的证据基础。这个38个月的项目有三个主要的、相互关联的工作包(WPS),每个工作包都提供了相当大的原创性。每一个WP都与人口普查数据发布阶段保持一致,并与互补的学术产出和与影响有关的活动保持一致。WP1(族裔多样性、隔离和混居)旨在绘制和分析新的、新兴的和稳定的族裔多样性地理位置,通过考虑个人、家庭和人们生活的空间之间的分层混杂,更好地了解邻里转变的动态,并探索族裔、社会经济和年龄隔离之间的相互关系。WP2(社会空间族裔不平等)将记录、分析和解释当地族裔不平等的程度和持久性,以及不同族裔群体之间的邻里剥夺经历如何不同。WP3(国内移徙和(Im)流动)将更多地关注塑造少数民族居住模式的过程,包括族裔在国内移徙中的差异在改变邻里种族集中和贫困方面的作用。学术成果将包括在领先的国际期刊、会议报告和项目活动中发表的文章。影响的途径在整个项目中交织在一起,以确保调查结果是可访问的、公开的,并对一系列用户受益者有用(例如,升级部门、住房和社区部门、工作和养老金部门、地方当局(LA)和第三部门分析师,询问公民)。产出包括联合制作的国家统计局人口普查主题出版物、2021年人口普查简报、洛杉矶分析工具包(简报、如何指导、研讨会)、学校教育资源、知识交流活动和专门的网络资源(产出、代码、互动地图工具)。该项目具有巨大的潜力,可以改变政策、政治和公众对英国人口及其社区正在发生变化的理解。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Ethnic diversification and neighbourhood mixing: A rapid response analysis of the 2021 Census of England and Wales
  • DOI:
    10.1111/geoj.12507
  • 发表时间:
    2023-01-16
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Catney, Gemma;Lloyd, Christopher D.;Manley, David
  • 通讯作者:
    Manley, David
Changes in mixed ethnicity households and neighbourhood transitions in England and Wales
  • DOI:
    10.1002/psp.2745
  • 发表时间:
    2023-12-14
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Catney,Gemma;Ellis,Mark;Wright,Richard
  • 通讯作者:
    Wright,Richard
An ethnic group specific deprivation index for measuring neighbourhood inequalities in England and Wales
  • DOI:
    10.1111/geoj.12563
  • 发表时间:
    2023-11-29
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Lloyd,Christopher D.;Catney,Gemma;Wood,Sarah
  • 通讯作者:
    Wood,Sarah
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Gemma Catney其他文献

Mapping winter road connections to remote First Nations communities in Canada
绘制通往加拿大偏远原住民社区的冬季道路连接图
  • DOI:
    10.1016/j.coldregions.2025.104590
  • 发表时间:
    2025-11-01
  • 期刊:
  • 影响因子:
    3.800
  • 作者:
    Annette Salles;Donal Mullan;Matteo Spagnolo;Gemma Catney
  • 通讯作者:
    Gemma Catney
Correction to: Population Grids for Analysing Long-Term Change in Ethnic Diversity and Segregation
  • DOI:
    10.1007/s40980-021-00077-8
  • 发表时间:
    2021-02-08
  • 期刊:
  • 影响因子:
    1.100
  • 作者:
    Gemma Catney;Christopher D. Lloyd
  • 通讯作者:
    Christopher D. Lloyd
Guest Editorial: Modelling Urban Behaviour
  • DOI:
    10.1007/s12061-016-9195-1
  • 发表时间:
    2016-06-17
  • 期刊:
  • 影响因子:
    1.900
  • 作者:
    Christopher D. Lloyd;Gemma Catney;Alex Singleton
  • 通讯作者:
    Alex Singleton

Gemma Catney的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似海外基金

Developing Evidence to Improve Racial and Ethnic Diversity in the MD-Scientist Workforce
开发证据以改善医学博士科学家队伍中的种族和民族多样性
  • 批准号:
    10656904
  • 财政年份:
    2023
  • 资助金额:
    $ 97.95万
  • 项目类别:
Understanding Ethnic Differences in Cancer: The Multiethnic Cohort Study - Diversity Supplement
了解癌症的种族差异:多种族队列研究 - Diversity Supplement
  • 批准号:
    10747120
  • 财政年份:
    2023
  • 资助金额:
    $ 97.95万
  • 项目类别:
Multifactoral breast cancer risk prediction accounting for ethnic and tumor diversity
考虑种族和肿瘤多样性的多因素乳腺癌风险预测
  • 批准号:
    10609504
  • 财政年份:
    2020
  • 资助金额:
    $ 97.95万
  • 项目类别:
RAPID: COLLABORATIVE RESEARCH: Resiliency and Vulnerability to COVID-19 in Rural Communities: Health and Socioeconomic Well-Being in the Context of Ethnic Diversity
快速:协作研究:农村社区对 COVID-19 的恢复力和脆弱性:种族多样性背景下的健康和社会经济福祉
  • 批准号:
    2033920
  • 财政年份:
    2020
  • 资助金额:
    $ 97.95万
  • 项目类别:
    Standard Grant
Language Transmission and Inclusion of Ethnic Cultural Diversity in Francophone Canada - Ontario as an Example
加拿大法语区民族文化多样性的语言传播和包容——以安大略省为例
  • 批准号:
    20K12368
  • 财政年份:
    2020
  • 资助金额:
    $ 97.95万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
RAPID: COLLABORATIVE RESEARCH: Resiliency and Vulnerability to COVID-19 in Rural Communities: Health and Socioeconomic Well-Being in the Context of Ethnic Diversity
快速:协作研究:农村社区对 COVID-19 的恢复力和脆弱性:种族多样性背景下的健康和社会经济福祉
  • 批准号:
    2033957
  • 财政年份:
    2020
  • 资助金额:
    $ 97.95万
  • 项目类别:
    Standard Grant
Multifactoral breast cancer risk prediction accounting for ethnic and tumor diversity
考虑种族和肿瘤多样性的多因素乳腺癌风险预测
  • 批准号:
    10416066
  • 财政年份:
    2020
  • 资助金额:
    $ 97.95万
  • 项目类别:
Multifactoral breast cancer risk prediction accounting for ethnic and tumor diversity
考虑种族和肿瘤多样性的多因素乳腺癌风险预测
  • 批准号:
    10263893
  • 财政年份:
    2020
  • 资助金额:
    $ 97.95万
  • 项目类别:
DNA Methylation, Genetics, and Modifiable Risk Factors of Dementia in a Nationally Representative, Multi-Ethnic Cohort - Diversity Supplement
具有全国代表性的多种族队列中的 DNA 甲基化、遗传学和可改变的痴呆症风险因素 - Diversity Supplement
  • 批准号:
    10282339
  • 财政年份:
    2020
  • 资助金额:
    $ 97.95万
  • 项目类别:
Enhancing racial and ethnic diversity inCOVID-19 research participation through storytelling (COVIDstory)
通过讲故事增强 COVID-19 研究参与中的种族和民族多样性 (COVIDstory)
  • 批准号:
    10264461
  • 财政年份:
    2020
  • 资助金额:
    $ 97.95万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了