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

欧盟农村地区占其人口的30%和领土的80%以上，面临着同步的人口、气候、经济、社会和环境变化，这些变化影响着他们的特征和新陈代谢。应对这些挑战需要对农村地区是什么以及农村社区目前面临的问题有准确的了解。农村地区的定义往往依赖于人口密度或人口规模。它们没有对当代多样化的城乡关系和身份的动态、驱动因素和流动性提供足够的洞察力，这些关系和身份是整个欧洲乡村的特征。尽管越来越多的人认识到农村地区是多样化的，类型学应该更好地反映这些领土的特性，但缺乏规模较小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的多维性质的最新农村概念出发，颗粒性将产生基于多行为者和跨学科方法的农村多样性特征的新见解。基于多参与者实验室的见解，它将使用广泛的方法和主要数据，如遥感、众包数据、手机数据和网络抓取，生成新的数据集。然后，这些数据将与各种现有机构数据结合起来，得出与农村社区有关的指标，以执行《农村地区长期愿景》，从而衡量复原力、幸福感、生活质量和吸引力。这将使细粒度能够创建一个农村指南针，其中考虑到影响农村社区的因素及其功能特点，为政策制定者和农村行为者提供信息，以设计有针对性的农村政策。在确保结果的可扩充性之后，数据集、数据可视化和其他工具将直接在由农村行为者设计和为农村行为者设计的专用平台上使用。

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.