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Finn Laurien joined the Risk and Resilience (RISK) Program as a Research Assistant in 2016. His recent research projects include the assessment of flood resilience indicators in the Zurich Global Community Flood Resilience project and the displacement and migration due to climate and disaster risks. His current research interest covers the interdisciplinary collaboration between scientists and practitioner, measuring disaster risks and resilience at national and regional scales. Furthermore, Mr. Laurien is interested in the broader topic of displacement and migration due to climate and disaster risks.
Mr. Laurien is also a doctoral student at the Vienna University for Economics and Business where he is incorporating his work generated at IIASA.
From 2011 to 2016, prior to joining IIASA, Mr. Laurien worked at the Wegener Center for Climate and Global Change, the Department of Geography and Regional Science and the Institute of Systems Sciences, Innovation and Sustainability Research at the University of Graz.
Mr Laurien received two Master degrees in environmental system sciences in economics (MSc) and geography (MSc) from the University of Graz. Furthermore, he was enrolled in several Erasmus programs studying at Universities in Exeter, Bucharest and Barcelona.
Last update: 18-SEP-2017
Rovenskaya E, Aghababaei Samani K, Baklanov A , Ermolieva T, Folberth C , Fritz S, Hadi H, Javalera Rincón V , et al. (2019). Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century. IIASA Working Paper. Laxenburg, Austria: WP-19-010
Campbell KA, Laurien F, Czajkowski J, Keating A, Hochrainer-Stigler S, & Montgomery M (2019). First insights from the Flood Resilience Measurement Tool: A large-scale community flood resilience analysis. International Journal of Disaster Risk Reduction 40: e101257. DOI:10.1016/j.ijdrr.2019.101257.
Laurien F & Keating A (2019). Evidence from Measuring Community Flood Resilience in Asia. ADB Economics Working Paper Series: no.595. DOI:10.22617/WPS190484-2.
Laurien F, Keating A, Mechler R, Etienne E, Velev S, Szoenyi M, McQuistan C, Ianni F, et al. (2019). Lessons Learned from Measuring Flood Resilience. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-19-007
Laurien F, Keating A, & Szoenyi M (2019). Disaster resilience measurement: data for science and practice. In: European Geosciences Union (EGU) General Assembly 2019, 7–12 April 2019, Vienna, Austria.
Mechler R, Calliari E, Bouwer L, Schinko T , Surminski S, Linnerooth-Bayer J, Aerts J, Botzen W, et al. (2018). Science for Loss and Damage. Findings and Propositions. In: Loss and Damage from Climate Change. Eds. Mechler, R., Bouwer, L., Schinko, T. , Surminski, S. & Linnerooth-Bayer, J., pp. 3-37 Cham, Switzerland: Springer. ISBN 978-3-319-72025-810.1007/978-3-319-72026-5_1.
Mechler R, McQuistan C, McCallum I, Liu W , Keating A, Magnuszewski P, Schinko T , Laurien F, et al. (2018). Supporting Climate Risk Management at Scale. Insights from the Zurich Flood Resilience Alliance Partnership Model Applied in Peru & Nepal. In: Loss and Damage from Climate Change. Eds. Mechler, R., Bouwer, L., Schinko, T. , Surminski, S. & Linnerooth-Bayer, J., pp. 393-424 Cham, Switzerland: Springer. ISBN 978-3-319-72025-810.1007/978-3-319-72026-5_17.
Hochrainer-Stigler S, Mechler R, & Laurien F (2017). Fiscal resilience challenged. In: The GAR Atlas: Unveiling Global Disaster Risk. pp. 47-52 United Nations International Strategy for Disaster Reduction (UNISDR), Geneva, Switzerland.
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