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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
The Impact of Earthquakes on Economic Productivity [P20]

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This project combines natural science data with social science data, applying an interdisciplinary approach to investigate the long-term economic impacts of earthquakes. USGS ShakeMap data is used to provide a measure for the exogenous natural hazard of earthquakes in terms of peak ground acceleration. In the past, social science research has predominantly employed inadequate measures for the natural hazard of earthquakes. Here, a data set that represents global relevant ground shaking since 1973 is constructed and used for the first time to analyze global economic impacts. This data set is combined with social productivity data on two different geographic levels. First, conventional country-level World Bank GDP data is considered and then compared with an approach that looks at a 1x1 degree grid level, by using gridded G-Econ output data. Different regression models are applied for the quantitative analysis with particular focus on the spatial nature of the data.

Demo/Poster Presenter
avatar for Stephanie Lackner

Stephanie Lackner

PhD Candidate in Sustainable Development, School of International and Public Affairs
Stephanie Lackner is a PhD candidate in the Sustainable Development PhD program at SIPA. Her research interest are disasters and their short and long term socio-economic impacts, particularly earthquakes and other natural disasters. She holds a Master degree in Mathematics from the Vienna University of Technology.


Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (3)