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Early warning

An integrated system of hazard monitoring, forecasting and prediction, disaster risk assessment, communication and preparedness activities systems and processes that enables individuals, communities, governments, businesses and others to take timely action to reduce disaster risks in advance of hazardous events.

Latest Early warning additions in the Knowledge Base

Group of businessmen climbing a mountain.
Update

How business is bringing innovation and technology to disaster management

This article puts the spotlight on innovation and technology to showcase how some of our partners - and the private sector more broadly - are leveraging #techforgood in the context of disaster management, to #actforhumanity.
Connecting Business initiative
Update

Early Warnings for All intiative (EW4All): July 2024 updates

This brief displays the July 2024 updates for the Early Warnings 4 All initiative.
Early Warnings for All initiative (EW4All)
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Documents and publications

Anticipatory action in the drylands: steps toward centring pastoralist knowledge

This brief sets out some key barriers to be overcome in the humanitarian sphere, highlighting the need for a more tailored approach to anticipatory action in dryland contexts, explicitly oriented toward pastoral economies and livelihoods.
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Documents and publications

How climate information services (CIS) can help pastoralists in the Horn of Africa

This policy brief explores the challenges pastoralists face when using climate information services (CIS). It outlines key considerations for scaling up effective CIS in drylands.
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Documents and publications

Uncertainty, pastoral knowledge and early warning: a review of drought management in the drylands, with insights from northern Kenya

This article explores the recent history of early warning systems in Kenya, determining key features of the entangled political, technical and conceptual processes that prefigure contemporary drought management there.
Hand on a keyboard with images of an AI-powered programme
Update

Seven promising innovations of artificial intelligence across the DRM cycle

Read on to explore seven diverse examples of how AI can reduce disaster risks and build resilient communities - from harnessing satellite data to predict natural hazards, to improving multilingual weather alerts and streamlining evacuation procedures.
United Nations Office for Disaster Risk Reduction (UNDRR)
Cover-World Bank
Documents and publications

Early warning systems in fragility, conflict, and violence-affected settings: Shielding communities from natural hazards amid compounded crises

This study aims to contribute to GFDRR's overarching objective: to help low- and middle income countries understand and reduce their vulnerability to natural hazards and climate change.
Early warning
Update

Staying ahead of disaster: Mapping early warning systems in Central Asia

UNDP and UNDRR recently conducted a mapping exercise of early warning system stakeholders across Central Asia to help support a transformational shift in how systems are perceived and integrated into broader resilience-building efforts.
United Nations Office for Disaster Risk Reduction (UNDRR)
United Nations Development Programme (UNDP)
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