GRANULAR is a four-year multi-disciplinary and transnational project and it aims to generate new datasets and methods to understand the characteristics, dynamics and drivers of rural areas. Thanks to these new insights and to the creation of a Rural Compass, GRANULAR will help rural actors to design tailored place-based policies for territorial development.

Specifically, GRANULAR aims at:

supporting just digital, economic and ecological transitions in rural areas

conceptualising rural diversity, its multiple characteristics and functionalities
informing rural actors on the diversity of rural areas
empowering rural actors to engage in just, carbon-neutral and inclusive transitions

Living labs

Co-creation and multi-actor engagement are at the core of GRANULAR approach. As such, GRANULAR will run 7 Living Labs in different regions of Europe (France, Netherlands, Italy, Poland, Spain, Sweden, United-Kingdom).

Living Labs will bring together actors from science, policy and civil society, to co-design, test and validate GRANULAR work.

In addition, 9 Replication Labs will assess how to replicate the tools and methods of the project in other countries, namely Albania, Finland, Greece, Italy, Latvia, Lithuania, Moldova, Romania and Serbia.

Living Lab

Knowledge Transfer Accelerator

GRANULAR Knowledge Transfer Accelerator is a virtual space where different rural actors can learn and exchange knowledge and solutions to accelerate territorial development of their rural areas.

During the next four years, the GRANULAR Knowledge Transfer Accelerator will meet regularly and will organise several ‘acceleration actions’ (e.g. webinars, Q&A sessions, discussion panels). The aim of the Knowledge Accelerator Transfer is to boost action on the ground, and provide rural actors with the space for exchanges, capacity building and peer-to-peer.

Available soon

Digital Platform

GRANULAR Digital Platform is an online interface. It will help you to visualise and analyse the data and indicators generated by the project on rural areas.

Rural areas often lack detailed data to picture their current situation and predict future trends. With our project, we help to find and easily access these data for different rural areas, and at different levels of granularity (e.g. local, regional, macroregional).

Available soon