Information management and technology

This theme covers aspects related to hardware, software, networks, and media for the collection, storage, processing, transmission and presentation of information for disaster risk reduction (DRR), as well as related services. It also addresses information management to support knowledge sharing for DRR, such as data exchange standards and taxonomy.

Latest Information management and technology additions in the Knowledge Base

sunset at a drought stricken and arid landscape with shrubs
As drought becomes a more regular occurrence, a new study looks at the U.S. Drought Monitor, the nation’s preeminent drought classifier, to see how it has reflected climate change since 2000.
Eos - AGU
In India, climate scientists have also begun experimenting with AI and established a virtual centre dedicated to developing and refining various AI and ML techniques for enhanced weather predictions.
Dialogue Earth
Cover
This paper categorizes and analyzes concerns during heat waves, from heat-related illnesses to mental health issues. These findings provide valuable insights into how different health concerns are distributed across gender, user type, and age.
African children fetch water from a water source
While early warning systems are effective, to fully inform disaster-risk-reduction interventions they require effective coordination and early action protocols that function across multiple levels of governance, from local to national levels.
Anticipation Hub
The regional scientific and principal organisation, the Pacific Community (SPC), is spearheading a new project, called Digital Earth Pacific, to capture extensive satellite information about climate change and natural disasters in the region.
Inter Press Service International Association
A U.S. Geological Survey team has begun a seismic sensor deployment in an effort to capture aftershock data following the 4.8 magnitude earthquake that rattled New Jersey April 5, 2024, and was felt for hundreds of miles.
United States Geological Survey
Flood mural Rajapur, Nepal
The activity was carried out first in the classroom where children were allowed to express their experience living with flood through drawings and artistic expression.
Global Resilience Partnership
Equipment on a farm
UConn researchers has found a way to drastically cut the lag time for these assessments using remote sensing data and machine learning, bringing disturbance assessment closer to near real-time (NRT) monitoring.
University of Connecticut

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