UNDRR Publications

This report examines significant and specific gaps in long-running disaster impact data sets which skew our knowledge about global patterns and trends.

This contributing paper presents an extension of the INFORM Risk Index, a global indicator-based disaster risk assessment tool, using projections of exposure to climate change hazards to provide better insights for policymakers.

This contributing paper proposes a new typology of an adaptation strategy – conversion strategy – as a countermeasure to manage risks in interconnected supply chains in the private sector during the pandemic.

This contributing paper examines the need to create new governing systems at the local level that allow actors and institutions to simultaneously manage the interplays of single and multi-hazards and other residual risks.

This contributing paper presents how Indigenous Peoples are co-creating data platforms and technological tools that weave together Indigenous and Western knowledge and scientific Earth observations (EO) for disaster risk reduction.

This paper discusses potential of earth observation (EO) in providing simplistic and operational tools for the systemic risk analysis to complement Indigenous Knowledges covering nature-based solutions (NBS).

This contributing paper takes a look at the use of radio occultation to infer temperature and improve modeling for wildfire risk. 

This article summarizes the seismic risk analysis of Mexico City, based on a detailed database constructed with information provided by the city but also with tools such as geomatics and machine learning.

This contributing paper explores the role and the contribution of the public and private sectors in the (re)production and accumulation of disaster risks from a disaster capitalism optic.

This contributing paper reviews the governance of systemic risk with the aim to identify opportunities and enabling factors for improving governance by managing what are increasingly interdependent risks with the potential for cascading impacts.