[ghsc-seminars] Reminder: GHSC Seminar TOMORROW - Sabine Loos, Tuesday, October 26th, 2021, 10am MDT

[Boyd, Oliver S]

Data for disasters: developing information for effective and equitable disaster decisions

Speaker: Sabine Loos,
               USGS,
               GHSC
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Date/Time: Tuesday, October 26th, 2021, 10am MDT

Abstract: Managing disasters and building societal resilience requires effective decision-making that supports the most vulnerable. Emerging data sources—such as satellite or crowdsourced data—combined with statistical learning techniques have the power to inform evidence-based decisions that are both effective and equitable. However, important decision-makers, including policymakers and nongovernmental organizations, do not use existing emerging datasets for long-term plans because the data is highly uncertain or does not address the multifaceted nature of disaster impacts and recovery. In this talk, I will present how disaster modelers can leverage emerging data and multiple disciplinary perspectives to better support and understand crucial recovery decisions, drawing from three main research areas. The first is developing effective data, looking at a statistical framework to rapidly estimate regional building damage by calibrating satellite-based and engineering predictions with surveys. The second is developing equitable data, looking at a model that incorporates human factors to estimate the spatial distribution of populations who will get left behind during recovery. The third is using data to understand the effect of disaster decisions, looking at the long-term outcomes from the design of a past recovery policy. I will demonstrate the application of these frameworks using real data from past earthquakes, connecting it to personal experience studying Nepal's recovery since their 2015 earthquake. By developing tools with emerging and widely available data, we can inform disaster management decisions that inform diverse users and communities. More broadly, by integrating engineering understanding of the built environment with perspectives from natural and social scientists, modelers can develop data-driven strategies to support populations made vulnerable to disaster both before and after an event occurs.
[cid:9c721128-69a9-4cf6-a799-961601f3b2e0]
Bio: Sabine Loos is a Mendenhall Fellow with the United States Geological Survey in collaboration with the Natural Hazards Center working on developing socially equitable earthquake risk products. Broadly, her research surrounds the development of disaster information that centers users and the human experience. She applies statistical learning, risk analysis, and visualization techniques to develop tools that inform effective and equitable disaster risk reduction, response, and recovery. Through the lens of data, her work bridges engineering with the natural and social sciences to support the most vulnerable. She has worked across Nepal, Singapore, and New Zealand to gain firsthand experience of the impacts from disasters. The transdisciplinary nature of her work has led her to collaborate with Kathmandu Living Labs, the World Bank, NASA-JPL, Humanitarian OpenStreetMap Team, and others. She also co-chairs the Natural Hazards Center Researchers' Meetings and co-leads the Risk & Resilience DAT/Artathon. Sabine is a recipient of the John A. Blume Fellowship in Earthquake Engineering and National Science Foundation Graduate Research Fellowship. She holds a PhD and master’s degree from Stanford University (2021, 2018) and bachelor's degree in civil engineering from Ohio State University (2016). She looks forward to learning about all the hazard initiatives and research at USGS and getting to meet the many talented folks behind them! Outside of work, Sabine enjoys eating/making/ranking ice cream; practicing yoga and dancing hip-hop; and hanging out with her cat Lula (short for Cholula) and friends/partner.

GHSC Seminar Committee: Oliver Boyd <olboyd at usgs.gov>, Josh Rigler <erigler at usgs.gov>, Francis Rengers <frengers at usgs.gov>
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