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The EERI Virtual Earthquake Reconnaissance Team's rapid Phase 1 report compiling early observations of hazards, impacts, and response following the 2026 Ende, Indonesia earthquake.

A living story map compiling early scientific assessments of the August 26, 2026 debris flood along Nepal's Lhende Khola–Bhote Koshi/Trishuli river system. AIDD Labs authored the section on its societal impacts.

The EERI Virtual Earthquake Reconnaissance Team's rapid Phase 1 report compiling early observations of hazards, impacts, and response following the 2026 San José del Palmar, Colombia earthquake.

The EERI Virtual Earthquake Reconnaissance Team's rapid Phase 1 report compiling early observations of hazards, impacts, and response following the 2026 Uto, Japan earthquake.

The EERI Virtual Earthquake Reconnaissance Team's rapid Phase 1 report compiling early observations of hazards, impacts, and response following the 2026 Yumare, Venezuela earthquakes.

The EERI Virtual Earthquake Reconnaissance Team's rapid Phase 1 report compiling early observations of hazards, impacts, and response following the 2026 Mindanao, Philippines earthquake.

Focus groups with 49 disaster management practitioners worldwide identify the disaggregated and actionable risk metrics needed to support equity-focused decisions, beyond fatalities and economic losses.

Through a scenario workshop with emergency managers, this study finds that disaggregated risk metrics, showing who is exposed and affected, help practitioners turn equity goals into concrete tasks.

This study examines how short- and long-term household housing satisfaction can serve as a more meaningful measure of reconstruction outcomes reflecting affected households’ lived experiences.

This paper compares five speech-based emotion classifiers in English and Spanish as a proof of concept for detecting stress among 9-1-1 dispatchers to support their mental health.

A global analysis of the characteristics that drive interaction with the U.S. Geological Survey's "Did You Feel It?" product

Through engagement with households, businesses, and local government in Sarasota County, this study examines the feasibility and design needs of community-based parametric reciprocal insurance.

A Python command-line tool that extracts location information from field photos' metadata and outputs them in an organized file structure with an image data table and interactive map.

Focus group protocols, including a facilitation guide, questionnaire, and information sheet, used to assess practitioners’ needs for equity-focused disaster risk information.

Scenario workshop protocols, including activities, facilitation guides, and slides, used to evaluate how emergency managers use equity-supporting, disaggregated risk information.

A user study with 17 green infrastructure practitioners in Detroit shows that a customized stormwater modeling interface lets non-engineers produce their own modeling data and take part in flood planning.

Taking a historical lens on climate and disaster risk modeling, this paper shows how 'insurance logics' persist as AI tools move into public-sector risk governance, highlighting continuity rather than disruption.

Reconnaissance observations documenting the state of housing, infrastructure, and organizational recovery 20 months after the 2023 Kahramanmaraş, Türkiye earthquake sequence.

Organized, geotagged photos of building recovery and reconstruction, plus notes on organizational recovery, collected 20 months after the 2023 Kahramanmaraş, Türkiye earthquake sequence.

Using a survey of over 800 households four years after the 2015 Nepal earthquake, this study tests whether the Post-Disaster Needs Assessment identified the groups that went on to have the worst recovery outcomes.

Centering equity in USGS' hazards science helps guide how we form partnerships, conduct research, and deliver actionable information.

Drawing on focus groups with 49 practitioners and USGS web traffic, this paper offers strategies to make PAGER earthquake loss information accessible to a wider range of users.

This USGS report proposes an International Macroseismic Scale that standardizes how earthquake shaking intensity and damage are observed and reported worldwide.

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.

Evaluating how effective data integration for damage estimation with different data sources across different contexts.

Reviewing damage data collected after the 2021 and 2010 Haiti earthquakes, this paper offers best practices so post-earthquake damage data serve both science and response and recovery decisions.

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.

This report uses probabilistic counterfactual analysis to measure disasters that were avoided, making visible the often-unseen benefits of disaster risk management.

Code to accompany Efficacy of Damage Data Integration: A Comparative Analysis of Four Major Earthquakes published in Natural Hazards Review

Through interviews and a questionnaire with damage information users and providers, this paper characterizes six post-disaster tasks that rely on building damage data and the factors, such as trust and sharing barriers, that shape its use.

Using data from the 2010 Haiti earthquake, this paper develops a spatial ordinal damage model showing how unaccounted spatial correlation in damage raises the probability of extreme regional losses.

Code to accompany A data-driven approach to rapidly estimate recovery potential to go beyond building damage after disasters, published in Communications Earth & Environment.

If you’re reading this blog post, chances are that you are 1) an early career risk professional and 2) considering whether you should learn more about data visualization. This blog is meant to provide three reasons why you should, from a fellow early career risk professional who started out the journey herself a few years ago.

Using a household survey four years after the 2015 Nepal earthquake, this paper develops a model to rapidly map persistent recovery need from readily available geospatial data.

Code to accompany G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage published in Earthquake Spectra

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

A framework that employs geostatistical methods to combine multiple sources of building damage data into one estimate.

The Asia-Pacific region is an exciting opportunity for transdisciplinary work, because the research space is still rapidly growing and forming, the region is traditionally less data-rich, which inspires more creative data collection and data use; meanwhile, the hazards are numerous and the risks rapidly evolving due to population growth and climate change, and requires the need to balance development with disaster risk reduction.

Exploring the impacts and reconstruction of the 2015 Gorkha earthquake.

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.

An overview of the development of using remote sensing for crowdsourcec building damage assessment and an evaluation of the uses of this information.

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

Comparing three approaches to crowdsource building damage information using satellite imagery after a disaster.

This paper develops a probabilistic framework for assessing how the capacity of prestressed concrete piles degrades over time in marine environments.

Using the 2015 Gorkha earthquake as a case study, this paper examines the types and purposes of post-disaster damage assessments and argues they should be tailored to the diverse, evolving information needs of different users.