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Map services for rural sustainability: from energy renovation to climate-conscious land use
None • Avoin Map Oy, Otso Valta
How much energy could a renovation save? What would it cost, and how would it affect emissions? What happens to carbon storage when a new building, road, power line or renewable-energy site is planne
Activity Map for rural events: making local life easier to discover
The Activity Map web service centred on the Mallusjoki pilot area in Finland, demonstrating events and destinations in a shared map view.
None • Avoin Map Oy, Otso Valta
A rural area may have an active cultural life, beautiful natural destinations and a full calendar of community events—and still appear almost empty online.Information may be divided between social-me
Testing JackDaw in practice: lessons from the second FloodAI+ workshop
A one-hour hands-on session showed where conversational GeoAI can make flood-risk information easier to access, and where stronger maps, provenance and local detail are still needed.
2026. gada 27. jūlijs • Ana Silva, Porvalor
From expectations to hands-on testingThe first FloodAI+ workshop established clear expectations. Stakeholders wanted maps that explain risk, understandable answers for different users, information ab
One Country at a Time: How a Code Camp in Piraeus Added a Czech Forest Layer to SYLVAN-AI — and a Blueprint for the Rest
SYLVAN-AI already searched 442 million cadastral parcels across 27 countries. Through the JackDaw Code Camp it gained something continental data cannot provide: a national forestry classification, contributed by the institute that maintains it.
2026. gada 27. jūlijs • Amir Abbas Zad Poor, Sylvanity B.V.
A platform designed to absorb national knowledgeSYLVAN-AI is a chat-enabled forest manager, selected under the PoliRuralPlus Enhance Open Call to validate the JackDaw tool-using GeoLLM in one of the
Putting JackDaw to the Test
What 35 everyday users, researchers and professionals taught us about a GeoAI assistant working in the real world.
2026. gada 21. jūlijs • CATALINK LIMITED: J- VERSE
JackDaw is an AI-powered conversational assistant that enables stakeholders to explore territorial and environmental information through map-based analysis, using the platform’s available geospatial
GeoEDUHealth Access – Bacău: Final Validation of the JackDaw GeoAI Solution for Territorial Accessibility in Rural Romania
Participants at the second validation workshop, at the Bacău County Council headquarters, 29 June 2026.
2026. gada 10. jūlijs • Constantin Avrămescu, General Director & AI/GIS Expert, MEDIA TREND SRL | Alexandru-Norbert Droiman, Project Manager, MEDIA TREND SRL
The Context: Why Bacău County?The GeoEDUHealth Access - Bacău project is implemented by MEDIA TREND SRL, the only Romanian company selected under the ENHANCE cascade funding call, part of the PoliRur
Maps first, decisions next: lessons from JackDaw’s first FloodAI+ workshop
How stakeholder feedback is helping validate JackDaw and the new Flood Connector for practical flood-risk decisions
2026. gada 8. jūlijs • Ana Silva, Porvalor
Why FloodAI+ matters nowFlood-risk information is becoming richer, more spatial and more data-driven. Hazard layers, satellite imagery, exposure models, vulnerability indicators and rainfall scenario
LocalLinks AI Brings Regional Food Networks Closer to Consumers
A Digital Map Connecting Farmers from the Pilsen Region with the Places Where You Can Buy Their Products
2026. gada 4. jūlijs • LocalLinks.AI Team (DEVELOP Open Call Winner – Pilot 6, Bavaria–Czech Region)
Where can you buy cheese from a farm just over the hill? Which local shop sells juice from a nearby orchard, or meat from a regional producer? Finding answers to these questions is often more difficu
Bringing AI Closer to Farmers: How eMooJI Makes Map-Based Decisions Easier
2026. gada 1. jūlijs • Jeet Biswas, Moofind
eMooJI is Moofind’s validation project under the PoliRuralPlus ENHANCE Call, testing how JackDaw can make complex spatial data easier to use for farmers and rural stakeholders. By combining GeoAI, Ea
Putting JackDaw to the Test: Early Findings from AURA's Usability Evaluation
2026. gada 29. jūnijs • AURA project
Earlier this year, the AURA project set out to answer a deceptively simple question: can an AI chatbot built on geospatial, climatic and demographic data actually help people in Central Macedonia mak