Geospatial Analysis of Disasters – Workshop on Measuring Welfare impacts of Emergency Relief, Heidelberg

Natural disasters and man-made catastrophes pose a serious threat to the stability and prosperity of countries and the well-being and lives of many individuals worldwide. Methodological advances and better availability of geospatial data are revolutionizing research on economic development after disasters and the allocation and effects of disaster relief and other forms of humanitarian aid. In order to spur this research agenda, we invite researchers to discuss how to use geospatial methods for measuring economic losses and recovery and other welfare indicators after disasters. Specifically, participants will work together to discuss and identify reliable, standard outcome measures of the welfare impacts of disasters at low levels of spatial and temporal aggregation.

This interdisciplinary workshop will be hosted by the Research Center of Distributional Conflict and Globalization in collaboration with the GIScience Group at Heidelberg University.

Location: The workshop will take place at Heidelberg University’s International Academic Forum (IWH).
Date: July 18-19, 2016 at Heidelberg University, Germany
(by invitation only)

Funding by AidData, the U.S. Global Development Lab powered by USAID and the German Research Foundation (DFG) is gratefully acknowledged. The workshop brings together researchers from economics, geography, computer science, political science, sociology, and other relevant disciplines. The goal of the workshop is to stimulate and advance the debate about reliable geospatial measures of the welfare impacts of emergency relief and to foster research collaborations.

Organizers :
Andreas Fuchs
Research Center for Distributional Conflict and Globalization, Heidelberg University

Vera Z. Eichenauer and Sven Kunze
Chair of International and Development Politics, Heidelberg University

João Porto de Albuquerque, Hongchao Fan and Jamal Jokar Arsanjani
GIScience Research Group, Heidelberg University

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