Piloting S-124 Navigational Warnings via VDES: From Plotting to MMS Deployment in Denmark
As part of the MaDaMe project under Interreg Baltic Sea Region, Denmark has begun piloting the next-generation maritime communication services designed to make navigational information faster, clearer, and more reliable. Demonstration of the End-to-End Data Flow In...
Baltic Sea Region Advances Toward S-100 Digital Navigation
The maritime world is entering a new digital era. After decades of relying on paper charts and later S-57 electronic navigation, the sector is now accelerating toward S-100 framework, a new way for sharing and integrating navigational information. That momentum was on...
The BALTIPLAST Project – From Pilot Actions to Transferable Solutions
The BALTIPLAST project developed practical approaches to tackling plastic pollution within a circular economy framework. By bringing together municipalities, NGOs, and universities, the project built a strong, collaborative response to the complex challenge of...
From Waste to Wisdom: BALTIPLAST Final Conference Showcases Paths to Plastic Reduction in the Baltic Sea Region
On 10–11 December 2025, the BALTIPLAST project concluded with its final conference in Turku, Finland, gathering a total of 76 participants from across the Baltic Sea Region. Participation was strongly interdisciplinary and cross-sectoral, comprising 23 representatives...
Pilot use case: AI Contouring Tool
Use-case description: Problem: There are differences in how organs are annotated across countries. Objective: To annotate structures on a CT scan. Solution: Three models, each providing a different approach to annotating the structure. Location: Aarhus University...
Pilot use case: AI Gestational Diabetes
Use-case description: A 24/7 service for pregnant women with diabetes at the Steno Center in Aalborg. It features an after-hours chatbot designed to answer questions outside of nurses’ working hours, as there was previously no support available after 4 PM. It provides...
Pilot use case: Detection of Malnutrition
Use-case description: AI prediction model for predicting whether a given citizen will develop a state of malnutrition within 1-6 months. The model is based on municipal and regional data. Location: Aarhus University Hospital in the Central Denmark Region Solutions...
New CiNURGi Video Shows Circular Nutrients in Action (Finnish)
Set in the Archipelago Sea catchment area, the film follows the journey of manure from Heikkilä pig farm to Gasum’s biogas plant in Vehmaa, with transport provided by CiNURGi project partner Kuljetus Tero Liukas. Along the way, the video highlights how advanced NIR...