The stakeholders to be identified in this deliverable D2.1 database of the PoliRuralPlus project include local communities, governments, farmers, SMEs, industry associations, research institutions, NGOs, civil society groups, infrastructure providers, digital technology companies, financial institutions, and tourism sector representatives. These stakeholders play crucial roles in driving and shaping rural-urban linkages and opportunities within the project area. The database of the PoliRuralPlus stakeholders in the 9 pilot regions is defined, and how communication channels will be established with them, as the basis for the project’s analysis of the rural-urban linkages and opportunities as well as the Impact of COVID19, to identify the most appropriate integrated urban-rural strategies.
The PoliRuralPlus Platform Design (D4.1) outlines the development of a modular, scalable digital ecosystem aimed at fostering sustainable, balanced, and inclusive rural-urban development. Building on the foundations of the original PoliRural project, the platform integrates advanced geospatial tools, AI technologies, and data sources to address regional development challenges. Key components include AI-driven models, data management services, and collaborative applications tailored to enhance policy-making, foresight analysis, and stakeholder engagement. The design emphasizes interoperability, real-time data integration, and user-centric development, ensuring adaptability within existing regional infrastructures. The platform supports objectives aligned with the European Green Deal, promoting innovation, resilience, and evidence-based governance strategies across diverse rural and urban regions.
PoliRuralPlus website Hub4Everybody integrates following components: Wagtail CMS, Map Management which includes Micka, HSLayers NG and Layman, QGIS - A Comprehensive GIS Software and QField - Mobile GIS and Data Collection App. The content of the Hub4Everybody is a feed for the AI solutions of the project. www.poliruralplus.eu https://wagtail.org
This tool is designed to merge the capabilities of Large Language Models (LLMs) with spatial predictors and an agentic approach to enhance geospatial decision-making. While LLMs excel at generating human-like responses, they sometimes struggle with domain-specific or complex tasks. To address this, the tool uses Retrieval-Augmented Generation (RAG), allowing LLMs to retrieve specific context from specialized data sources like geospatial information.
The PoliRuralPlus project has launched an innovative tool designed to support regional action plans, offering a digital "caddy" to guide stakeholders through complex data and planning processes. This tool, known as the PoliRuralPlus GPT, leverages the capabilities of advanced language models to provide tailored advice and insights specific to the needs of rural-urban regional planners.