David LALLEMANT
My research interests are in hazard, vulnerability and risk modeling for all natural hazards, with a particular focus on understanding the impact of disasters on cities. I am also interested in the modeling and communication of uncertainty as it relates to disaster risk, and the translation of science into policy. I use tools and methods from structural engineering, probabilistic hazard analysis, predictive modeling, geostatistics and other statistical methods to attempt novel and impactful research to promote resilient societies. I also work on the use of novel technologies for post-disaster damage assessment aimed at informing rapid, effective and equitable response and recovery. The multi-disciplinary and policy-oriented nature of my work has led him to build collaborations with the World Bank, the Red Cross, Google, USGS and others.
Hazard, Vulnerability, Risk and Resilience Analysis - Topics of interest include:
* Time-dependent risk modeling.
* Developing quantitative models of "resilience" (the ability of systems to recover from shock).
* Risk analysis at the urban and regional scale.
* Disaster impacts beyond fatalities and financial loss.
* Novel methods of fragility modeling.
Post-Disaster Impacts and Recovery - Topics of interest include:
* Remote sensing for post-disaster assessment.
* Crowd-sourcing for post-disaster assessment.
* Multi-data integration and geostatistics for post-disaster assessment.
* Resilient disaster recovery.
Ph.D. in Structural Engineering - Stanford University, 2015
Thesis: Modeling the Future Disaster Risk of Cities to Envision Paths Towards Their Future Resilience.
M.Sc. in Structural Engineering - University of California at Berkeley (UC Berkeley), 2010
B.Sc. in Civil Engineering - Massachusetts Institute of Technology (MIT), 2007
Publications:
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Invited perspectives: How machine learning will change flood risk and impact assessment. Natural Hazards and Earth System Sciences. 20(4), 1149-1161. (2020).
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G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage. Earthquake Spectra. (2020).
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Modeling Downward Counterfactual Events: Unrealized Disasters and why they Matter. Frontiers in Earth Science. 8, (2020).
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Tephra cushioning of ballistic impacts: Quantifying building vulnerability through pneumatic cannon experiments and multiple fragility curve fitting approaches. Journal of Volcanology and Geothermal Research. 388, (2019).
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Post-disaster damage assessments as catalysts for recovery: A look at assessments conducted in the wake of the 2015 earthquake in Nepal. Earthquake Spectra. 33(S1), S435-S451. (2017).
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A Framework and Case Study for Earthquake Vulnerability Assessment Of Incrementally Expanding Buildings. Earthquake Spectra. 33(4), (2017).
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A Framework for Assessing Building Performance Limit states that Inform Community Seismic Resilience. Journal of Structural Engineering. (2015).
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Statistical procedures for developing earthquake damage fragility curves. Earthquake Engineering and Structural Dynamics. 44(9), 1373-1389. (2015).
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A Beta Distribution Model for Characterizing Earthquake Damage State Distribution. Earthquake Spectra. 31(3), 1337-1352. (2015).
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Risk Reduction in Post-Disaster Reconstruction. (Phelps, P. M., & Matera M., Ed.).The Shelter Response and Housing Recovery in the First Two Years after the 2010 Haiti Earthquake: What Was Done and What Was Learned?. 65-78. (2015).
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Development of empirical and analytical fragility functions using kernel smoothing methods. Earthquake Engineering and Structural Dynamics. 44(8), 1163–1180. (2014).
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A Framework and Case Study for Urban Seismic Risk Forecasting. Proceedings of the 10th National Conference in Earthquake Engineering. 21-25. (2014).
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Rapid Post-Earthquake Damage Estimation using Remote- Sensing and Field-Based Damage Data Integration. 11th International Conference on Structural Safety & Reliability (ICOSSAR 2013). 3399–3406. (2013).
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A Comprehensive Analysis of Building Damage in the 12 January 2010 Mw7 Haiti Earthquake Using High-Resolution Satellite and Aerial Imagery. Photogrammetric Engineering & Remote Sensing,. 77(10), 997-1009. (2011).
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The State of Haiti following the 2010 Earthquake. Berkeley Planning Journal. 23(1), 191-194. (2010).
Publications:
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Accounting for Uncertainty in Earthquake Fragility Curves. 16th World Conference in Earthquake Engineering. (2017).
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Waiting for the Big One: the Continued Earthquake Risk of Port-au-Prince, Haiti. 3rd International Conference on Urban Disaster Recovery. (2014).
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Supporting and Informing the Process of Risk Arbitration in Post-Disaster Recovery. 3rd International Conference on Urban Disaster Recovery. (2014).
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Modeling the Future Disaster Risk of Cities to Envision Paths towards their Future Resilience. Understanding Risk Conference. (2014).
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Development of Empirical and Analytical Fragility Functions Using Gaussian Kernel Smoothing Methods. 11th International Conference on Structural Safety & Reliability (ICOSSAR 2013). (2013).