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Giving Rural Actors Novel data and re-Useable tools to Lead public Action in Rural areas

Giving Rural Actors Novel data and re-Useable tools to Lead public Action in Rural areas
为农村参与者提供新颖的数据和可重复使用的工具,以引导农村地区的公共行动
批准号:
10041831
负责人:
金额:
$35.59万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
翻译
欧盟农村地区占其人口的30%和领土的80%以上,同时面临着人口、气候、经济、社会和环境的变化,这些变化影响着他们的特征和新陈代谢。要应对这些挑战,就需要准确了解农村地区是什么,农村社区目前面临着什么。农村地区的定义往往依赖于人口密度或规模。他们没有提供足够的动力,驱动力和流动性的当代不同的农村-城市关系和身份的特点,整个欧洲的农村。尽管人们日益认识到农村地区的多样性,而且类型学应该更好地反映这些地区的特性,但缺乏精细的数据阻碍了这种创新。从基于当代农村-城市相互关系和相互依存关系的多维性质的农村性的最新概念出发,GRANULAR将基于多行为体和跨学科方法产生表征农村多样性的新见解。基于多行动者实验室的见解,它将使用广泛的方法和原始数据生成新的数据集,如遥感、众包数据、移动的电话数据和网络抓取。这些数据将与各种现有的机构数据相结合,得出与农村社区有关的指标,以实施农村地区长期愿景,从而衡量复原力、福祉、生活质量和吸引力。这将使GRANULAR能够创建一个考虑到影响农村社区及其功能特点的因素的农村指南针,为决策者和农村行为者提供信息,以设计有针对性的农村政策。在确保结果的可升级性之后,数据集、数据可视化和其他工具将直接在由农村行为体设计并为农村行为体设计的专用平台上提供。
英文摘要
Representing 30% of its population and over 80% of its territory, EU rural areas are facing simultaneous demographic, climate, economic, social and environmental changes which affect their characteristics and metabolisms. Responding to these challenges requires a precise understanding of what rural areas are and what rural communities are facing nowadays. Definitions of rural areas tend to lean on population density or size. They do not provide sufficient insights into the dynamics, drivers and fluidity of contemporary diverse rural-urban relations and identities that characterize ruralities across Europe. Despite the increasing acknowledgement that rural areas are diverse and that typologies should better reflect the identities of such territories, the lack of data at a fine scale prevents such innovations. Departing from an updated conceptualisation of rurality based on the multi-dimensional nature of contemporary rural-urban interrelations and interdependencies, GRANULAR will generate new insights for characterising rural diversity based on a multi-actor and interdisciplinary approach. Based on insights from Multi-Actor Labs, it will generate novel datasets using a wide range of methods and primary data, such as remote sensing, crowd-sourced data, mobile phone data and web-scraping. This data will then be combined with a variety of existing institutional data to derive indicators relevant to rural communities for the implementation of the Long-Term Vision for Rural Areas (LTVRA), so to measure resilience, well-being, quality of life and attractiveness. This will enable GRANULAR to create a Rural Compass, that take into account the factors affecting rural communities and their functional characteristics, informing policymakers and rural actors for the design of tailored rural policies. After ensuring the up-scalability of the results, datasets, data visualization and other tools will be directly available on a dedicated platform designed by and for rural actors.
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