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%，占其领土的80%以上，同时面临着影响其特征和代谢的人口、气候、经济、社会和环境变化。应对这些挑战需要准确理解农村地区和农村社区目前面临的问题。农村地区的定义往往依赖于人口密度或规模。它们没有提供足够的见解，以了解整个欧洲农村特征的当代多样化城乡关系和身份的动态、驱动因素和流动性。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地区的特征，但缺乏精确的数据阻碍了这种创新。从基于当代城乡相互关系和相互依赖的多维性的乡村性的最新概念出发，GRANULAR将基于多参与者和跨学科的方法，为农村多样性的特征提供新的见解。基于多参与者实验室的见解，它将使用广泛的方法和原始数据（如遥感、众包数据、移动电话数据和网络抓取）生成新的数据集。然后，将这些数据与各种现有机构数据相结合，得出与农村社区有关的指标，以实施农村地区长期愿景（LTVRA），从而衡量复原力、福祉、生活质量和吸引力。这将使该方案能够制定一个农村指南针，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制定有针对性的农村政策提供信息。在确保结果的可扩展性之后，数据集、数据可视化和其他工具将在由农村行为者设计并为其设计的专用平台上直接提供。

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.