Ph.D. Researcher
Sabine Loos
Sabine applies geostatistical and data-driven methods to components of resilience analysis. Her work has focused on rapidly estimating regional damage after an earthquake by integrating multiple geospatial datasets. She is now applying similar methods to estimate post-disaster socioeconomic need. Before her PhD, Sabine has also developed and validated remote sensing-based data sources on building damage.
Sabine’s Website
Recent Work
Informatics for Equitable Recovery
Developing rapid information products on the scale and location of impact using using open geospatial data
Learn MoreNatural Hazards Workshop
Convening a session on Transdisciplinary Data Convergence in the Asia Pacific Region
Read the blog#VizRisk Data Visualization Challenge
Won category prize for Best Visual Design for our data story on what happened after the 2015 Earthquake
See the storyStanford Urban Resilience Initiative
Part of another team of researchers aiming to quantify resilience based at Stanford University
Learn more