Latest additions to the knowledge base

Recent PhD graduate Gabrielle Migliato Marega (CivMin) developed an improved tool for estimating how much water from heavy rains ends up in sanitary sewers.

The January 2026 special issue of The Geneva Papers on Risk and Insurance gathers research on climate modelling, adaptation, and catastrophe management, spotlighting the innovations that will be vital for today’s fast-changing climate risk landscape.

This study critically interrogates dominant models of post-disaster recovery by combining an interdisciplinary review of critical scholarship with grounded empirical analysis from Brazil.

This study examines how, in Brazil, direct experience with heavy-rainfall disasters increases risk perception and self-preparedness, but does not translate into greater trust in institutions or stronger perceptions of community preparedness.

Brazil must modernize its public budgeting for climate-related disasters by adopting proactive disaster risk finance strategies, shifting from reactive emergency spending to planned financial tools like reserves, contingent credit, and insurance.

Can we build landslide susceptibility maps that are more objective, transparent, and useful for local authorities and residents?

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers.

Among the most frequent natural hazards, floods pose a recurrent threat to the lives and livelihoods of over 4 billion people who reside in urban areas, including cities.