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Despite research demonstrating the disproportionate effects of disasters on vulnerable groups, current risk modeling approaches lack robust methods to account for such equity concerns. Consequently, efforts to develop evidence-based disaster risk management interventions may lack awareness of differential risks in the settings where they are applied. Here, we draw on the relevant literature to develop a typology for characterizing current approaches to incorporating equity into risk modeling.

The introduction to the Special Issue on Longitudinal Recovery

This poster provides an overview of research to understand who access DYFI? globally.

In this paper, we draw on postcolonial, decolonial, and anti-colonial theory and a case study of a multi-hazard disaster and climate risk assessment project conducted in Nepal to examine a potential limit of contemporary environmental data practices – the potential to extend or reinforce colonial knowledge systems and extractive relationship to land.

This poster, which won 1st place for Theoretical and Social Sciences, provides an overview of user engagement to design more actionable earthquake information products at the USGS.

Post-disaster data overwhelmingly focuses on immediate impacts on buildings rather than the long-term needs of populations who live inside those buildings. As shown in this study of the 2015 earthquake in Nepal, data can instead be leveraged to capture the recovery needs of vulnerable populations.

Going beyond building damage to support vulnerable populations' recovery needs after a disaster.

An overview of integrating social equity into risk modeling.

In this talk, Sabine presents on three main examples of designing earthquake information to be more actionable by centering user needs and more equitable by prioritizing vulnerable populations.

An overview of the project for supporting equitable recovery through impact assessments.

Sabine Loos presents on her research on the rapid integration of post-disaster data sources as a basis for impact estimation for recovery planning at our 2nd annual Geospatial Analysis for International Development (Geo4Dev) conference.

Why we need metrics other than economic losses for smart recovery decisions.