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Science and technology

This theme adresses how science and technology can contribute to DRR, including approaches and initiatives to bring scientific and technical knowledge into practice and policy, approaches for multidisciplinary engagement, good practice in scientific and technical aspects of DRR, and citizen science.

Latest Science & technology additions in the Knowledge Base

A young boy walking across a refugee camp in Syria.
Update

How AI is advancing socioeconomic insights into disaster displacement

To better understand and anticipate disaster displacement, this investigative journey employs a type of artificial intelligence (AI) with transformative potential: machine learning. T
Internal Displacement Monitoring Centre (IDMC)
Update

Recently completed geophysical survey will help protect critical infrastructure from geomagnetic storms and space weather

The United States Magnetotelluric Array provides geophysical information about the electrical structure of the Earth that aid in hazard assessments such as those that address the impacts of geomagnetic storms and space weather on electric power grids
United States Geological Survey
Update

Building disaster resilience by empowering future innovators

A newly funded program led by UNSW Sydney’s Professor Donna Green will soon enable NSW primary school teachers to equip their students with the knowledge and practical skills to face natural disasters.
University of New South Wales
Forest next to a city in Brazil
Update

How a ‘citizen map’ is helping Brazil prepare for next big flood

In the wake of last month’s disastrous flooding in southern Brazil, researchers are asking residents to use their smartphone cameras to document the damage and high-water marks.
Yale Environment 360
Illustration that explains the mechanism of liquefaction
Research briefs

Towards smart cities: Predicting soil liquefaction risk using artificial intelligence

Soil liquefaction that results in infrastructure damage has long been a point of contention for urban planners and engineers. Accurately predicting the soil liquefaction risk of a region could help overcome this challenge.
Shibaura Institute of Technology (SIT)
Update

Scaling climate adaptation technology for a just transition

Adaptation strategies demand a convergence of diverse approaches ranging from economic incentives and robust policy frameworks to locally driven interventions.
United Nations Economic and Social Commission for Asia and the Pacific (UN-ESCAP)
A family fetches water from a stream during a drought in Madagascar
Research briefs

AI predicts droughts a year in advance

Researchers have proposed deep learning models that predict droughts using climate data. Long-term forecasts of this kind are sought by agricultural producers planning their operations, by insurance companies and banks evaluating climate risks.
Skoltech - Skolkovo Institute of Science and Technology
A flooded street in Da Nang, Vietnam during heavy typhoon rains
Research briefs

New study unveils ways to predict typhoon intensity with ‘eye of deep learning'

Amidst the challenges posed by climate change in predicting typhoons, a team of researchers has developed a technology that leverages real-time satellite data and deep learning capabilities to predict typhoons with greater precision.
Ulsan National Institute of Science & Technology (UNIST)
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