Horus is a pilot project that explores the combination of high-resolution building inventory data from OpenStreetMap and other local sources with image-processing algorithms for the detection of earthquake damage and flood extents using remote-sensing data, along with supplementary geospatial datasets as inputs to a machine learning (ML) classification model.

One of the analyses to be conducted under the World Bank Groups' Country Climate and Development Reports (CCDRs), is to look at the fiscal and economic impacts of disasters in Azerbaijan, including the size of the macro-fiscal risk posed by earthquakes, floods, and droughts, and identify potential opportunities to increase financial resilience.

This project, responding to a request from the World Bank for improved post-disaster damage collection, focuses on the collection of data on physical damage to assets such as buildings (residential, commercial, industrial, public), infrastructure, and crops.

This project responds to a World Bank request for a probabilistic seismic hazard assessment for the Republic of Armenia. The goal of this study is to better understand the existing seismic hazard information in the country, and to provide an updated hazard model.

The United Nations Office for Disaster Risk Reduction (UNDRR)'s Global Assessment Report on Disaster Risk Reduction 2023 offers a unique perspective on development progress by emphasizing risk and resilience in a changing climate.