Imagine having a digital crystal ball that helps cities and countryside towns plan their future together. It uses smart maps and AI to spot trends and gaps in local policies. This helps leaders decide where to build or invest so that both urban and rural areas thrive equally.
Regional planners struggle with fragmented data and a lack of coordination between city and country authorities. This leads to inefficient land use and missed economic opportunities in rural areas.
["JackDaw: A GeoAI chatbot for scenario modelling and policy gap analysis.", "Vulture: An automated AI system for large-scale data processing and trend detection.", "Magpie: A tool for semantic metadata discovery.", "PoliRuralPlus Hub: A digital platform featuring a Rural Attractiveness Explorer and 170 harmonised map layers."]
If you are a consultancy dealing with fragmented regional data — this project developed the JackDaw GeoAI chatbot that provides spatial intelligence and policy gap analysis. This allows for faster, data-driven site selection and regional strategy development.
If you are a software provider dealing with the need for automated trend detection — this project developed Vulture, an AI system for large-scale data processing. This can be integrated into mapping tools to offer automated regional insights to government clients.
If you are a tech firm dealing with poor urban-rural coordination — this project developed a Map Whiteboard and a Hub with 170 harmonised grid map layers. This enables a shared digital workspace for different government levels to co-design regional plans.
Based on available project data, no specific pricing or cost details are provided, as the project focuses on open-source System Dynamic Modelling and collaborative services.
Yes, the project has already produced 170 harmonised grid map layers for Europe and the Czech Republic, demonstrating a capacity for large-scale spatial data processing.
The project utilizes open-source System Dynamic Modelling and provides a suite of interoperable tools, though specific commercial licensing terms are not listed.
It uses a harmonised data framework and a semantic metadata discovery tool called Magpie to ensure different data sources can work together.
The project is active from 2024-01-01 to 2026-12-31, with several AI tools already in the development and validation phase.
The consortium is well-balanced for technology transfer, featuring 20 partners from 13 countries. With a 35% industry ratio (7 companies, including 7 SMEs), there is a strong bridge between the 5 universities and 3 research institutes and the actual market, ensuring the AI tools are grounded in practical business and governance needs.
Contact CESKE VYSOKE UCENI TECHNICKE V PRAZE
Contact us to explore licensing the JackDaw or Vulture AI tools for regional planning.
