Science and Technology

The Philippine Disaster Resilience Foundation (PDRF), through the Philippine Preparedness Partnership (PhilPrep), launched two new digital tools to help micro, small, and medium enterprises (MSME) improve their disaster preparedness programs.
Regional Resource Centre for Asia and the Pacific
United Nations Office for Disaster Risk Reduction - Office in Incheon for Northeast Asia and Global Education and Training Institute for Disaster Risk Reduction
United Nations Office for Disaster Risk Reduction - Regional Office for Asia and Pacific
Enhanced computing and storage capacity will allow NOAA to deploy higher-resolution models to better capture small-scale features like severe thunderstorms.
Chintan Pandya
This article offers an overview of smart evacuation management systems – which make use of soft computing techniques – as a component of DRR strategies, including crowd monitoring, disaster prediction, evacuation modelling, and guidelines for evacuation.
This study attempts to circumvent the need for a universal agreement on the definition of “community resilience,” which may still be immature, if not impossible, at this time.
Human experts will continue to produce the avalanche bulletin in future, but computer assessments based on weather data and other measurements have a valuable role to play as a “second opinion”.
Earthquake and tsunami observation system
The PIROI proposes to organize, with the collaboration of its Reunionese partners, a symposium dedicated to disaster risk reduction (DRR) on the occasion of the IDDRR 2022..
Forecasting and early warning are considered the most effective measures to save lives and reduce the damage from flash floods. In the People’s Republic of China, an ADB project combines tradition and technology to prevent flash flood-induced disasters.
Scientists at the International Maize and Wheat Improvement Center (CIMMYT) are testing forgotten wheat varieties from across the world to find those which can better cope with drought, rising temperatures and excessive rainfall.