[09/26] What does a good mass casualty plan actually look like? That was the deceptively simple question behind ReSC, Resilient Systems for Mass Casualty Planning, a SALIENT-funded collaboration between NHS Highland and Durham University’s Institute of Hazard, Risk and Resilience.

[09/26] An IHRR workshop will bring together 39 researchers, public authorities and professional communicators to examine how difficult messages about hazards, risk and uncertainty can support decisions.

[09/26] IHRR Fellow Professor Stavros Zenios has been awarded €100,000 to establish PoliRiskLab at the Cyprus Academy of Sciences, with the research feeding a new Durham master's module.

[09/26] Professor Fausto Guzzetti will address GEOS 2026 in Oslo, linking advances in landslide forecasting with communication, trust, ethics, and decision-making for effective risk reduction.

[07/26] Learning-Enhanced Stochastic Model Predictive Control with Trustworthy Forecasting for Resilient Multi-Energy Microgrid Operation was published in Applied Energy (Vol. 422) in 2026. The paper was accepted on 23 June 2026 and became available online on 30 June 2026.

[07/26] Professor Fausto Guzzetti will lecture at the 5th IAEG Summer School in Aosta, Italy, discussing landslide prediction, uncertainty, risk, and how forecasts can support decisions.

[07/26] How can we communicate uncertain hazard and risk information clearly, credibly, and responsibly when consequences are serious, decisions are urgent, and public trust is at stake?

[06/26] The Institute of Hazard, Risk and Resilience (IHRR) and the Department of Geography are pleased to confirm that Emmanuel Dogbey has been awarded a fully funded Christopher Moyes Memorial Foundation (CMMF) PhD Studentship, commencing in October 2026.

[06/26] Professor Bruce Malamud, IHRR Director, marked the 25th anniversary of the journal Natural Hazards and Earth System Sciences (NHESS) at the EGU General Assembly 2026 in Vienna.

[06/24] SAT-Guard research was presented at EGU 2026, introducing a new framework for understanding how multiple natural hazards affect energy systems and trigger cascading disruptions.

[06/26] Digital Twins for Hazard-Resilient Power Grids: A Systematic Review and Roadmap was published in Renewable and Sustainable Energy Reviews (Vol. 235) in March 2026 (available online from 28 March 2026).

[06/26] A Physics-Informed Machine Learning Framework for Climate-Aware Digital Twins in Decentralised Energy Systems was published in Applied Energy (Vol. 416) in May 2026 (available online from 7 May 2026).