Latest additions to the knowledge base

The main project activity will involve facilitating the implementation of Multi-Hazard Early Warning Systems in all five target countries. This includes the production, analysis, interpretation and use of climate and risk information to strengthen MHEWS.

The weather of the future will be significantly wetter. Artificial intelligence can be used to develop early warning systems that can buy time to mitigate flood damage and to plan good systems to divert water away.

The GEUS report indicates that dumping of soil at the top of the slope triggered two large earthflows, driving instability across the site.

This report presents novel approaches rooted in co-created and tested processes to navigate complexity in using social media and crowd-sourcing in disasters primarily for organisations.

This seismic risk profile of Denmark, produced by the Global Earthquake Model (GEM) Foundation summarizes key metrics of seismic risk, allowing stakeholders in risk management to get an overview of the risk in the country.

This report presents the findings from a comparative study of climate change adaptation policy in Denmark, Finland, Iceland, Norway, and Sweden.

This articleprovides insights and lessons from two case studies of unprecedented landslide-triggered tsunami risk in recently deglaciated areas that have not previously been described in the relocation literature: Iceland and Greenland.

The Project aimed to empower children and youth to play an active role as contributors to societal resilience and to remove barriers to their active involvement in prevention, preparedness, response, and recovery.