NorBal2F is focused on studying recent forest growth trends in the Nordic-Baltic region to develop innovative climate-sensitive models for sustainable forest management.
The goal of RE-FOREST is to improve our understanding of how forest management affects water resources and to find sustainable solutions for the future.
This project aims to investigate how seasonal water availability affects tree growth, water quality, and biodiversity in drained hemiboreal forests, and whether simple, low-cost adaptive drainage solutions can help mitigate these impacts.
The REFORMED projects objective is understanding the interplay of environmental pressures, silviculture, and bark beetle dynamics across tree to landscape levels.
RAID investigates how AI is transforming the way we design digital services—and how we can ensure that this transformation is responsible, ethical, and aligned with the needs of society.
The NordRAI project investigates how generative artificial intelligence (GenAI) is transforming collaborative learning and teaching in higher education across the Nordic region.
The ORBIT consortium investigates how organizations in the Nordic energy sector develop and use artificial intelligence (AI) in responsible and regulation-aligned ways.
DARES investigates the relationship between energy systems, data and AI, focusing on the challenges of data quality for responsible AI in the green transition.
