Writing

Big data for whom? Data-driven estimates to prioritize the recovery needs of vulnerable populations after a disaster

A data-driven approach to rapidly estimate recovery potential to go beyond building damage after disasters

Efficacy of damage data integration: a comparative analysis of four major earthquakes

Why you should build your dataviz toolset early

Beyond building damage: modeling post-disaster need

G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage

Supporting equitable disaster recovery through mapping and integration of social vulnerability into post-disaster impact assessments

Forest Fire Prevention with Hivemapper High-Resolution 3D Maps

Converging Disaster Researchers in the Asia-Pacific

Developing the data story on Nepal's damage and reconstruction

Nepal after the quake.

The Development and Uses of Crowdsourced Building Damage Information based on Remote-Sensing

Informing Equitable Disaster Recovery: More than Just Economic Losses

Crowdsourced remote assessments of regional-scale post-disaster damage

Time-dependent Probabilistic Capacity Degradation Assessment of Prestressed Concrete Piles in Marine Environment

Post-Disaster Damage Assessments as Catalysts for Recovery: A Look at Assessments Conducted in the Wake of the 2015 Gorkha, Nepal, Earthquake