Items where IIASA Author is "Laurien, Finn"

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Number of items: 11.

Article

Hochrainer-Stigler, S., Laurien, F, Velev, S., Keating, A. & Mechler, R. ORCID: https://orcid.org/0000-0003-2239-1578 (2020). Standardized disaster and climate resilience grading: A global scale empirical analysis of community flood resilience. Journal of Environmental Management 276: e111332. DOI:10.1016/j.jenvman.2020.111332.

Laurien, F., Hochrainer-Stigler, S., Keating, A., Campbell, K., Mechler, R. ORCID: https://orcid.org/0000-0003-2239-1578 & Czajkowski, J. (2020). A typology of community flood resilience. Regional Environmental Change 20 (1): e24. DOI:10.1007/s10113-020-01593-x.

Campbell, K.A., 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.

Book Section

Mechler, R. ORCID: https://orcid.org/0000-0003-2239-1578, Calliari, E., Bouwer, L., Schinko, T. ORCID: https://orcid.org/0000-0003-1156-7574, Surminski, S., Linnerooth-Bayer, J., Aerts, J., Botzen, W., Boyd, E., Deckard, N. et al. (2018). Science for Loss and Damage. Findings and Propositions. In: Loss and Damage from Climate Change. Eds. Mechler, R. ORCID: https://orcid.org/0000-0003-2239-1578, Bouwer, L., Schinko, T. ORCID: https://orcid.org/0000-0003-1156-7574, Surminski, S. & Linnerooth-Bayer, J., pp. 3-37 Cham, Switzerland: Springer. ISBN 978-3-319-72025-8 DOI:10.1007/978-3-319-72026-5_1.

Mechler, R. ORCID: https://orcid.org/0000-0003-2239-1578, McQuistan, C., McCallum, I., Liu, W. ORCID: https://orcid.org/0000-0003-3646-3456, Keating, A., Magnuszewski, P., Schinko, T. ORCID: https://orcid.org/0000-0003-1156-7574, Laurien, F. & Hochrainer-Stigler, S. (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. ORCID: https://orcid.org/0000-0003-2239-1578, Bouwer, L., Schinko, T. ORCID: https://orcid.org/0000-0003-1156-7574, Surminski, S. & Linnerooth-Bayer, J., pp. 393-424 Cham, Switzerland: Springer. ISBN 978-3-319-72025-8 DOI:10.1007/978-3-319-72026-5_17.

Hochrainer-Stigler, S., Mechler, R. ORCID: https://orcid.org/0000-0003-2239-1578 & 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.

Monograph

Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443, Aghababaei Samani, K., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Ermolieva, T., Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238, Fritz, S., Hadi, H., Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Krasovskii, A. ORCID: https://orcid.org/0000-0003-0940-9366, Laurien, F. et al. (2019). Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century. IIASA Working Paper. Laxenburg, Austria: WP-19-010

Laurien, F., Keating, A., Mechler, R. ORCID: https://orcid.org/0000-0003-2239-1578, Etienne, E., Velev, S., Szoenyi, M., McQuistan, C., Ianni, F. & Campbell, K. (2019). Lessons Learned from Measuring Flood Resilience. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-19-007

Conference or Workshop Item

Szoenyi, M., Laurien, F. & Keating, A. (2020). Flood resilience measurement for communities: data for science and practice. DOI:10.5194/egusphere-egu2020-3934. In: European Geosciences Union (EGU) General Assembly 2020, 4-8 May 2020, Vienna, Austria.

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.

This list was generated on Thu Dec 3 23:11:58 2020 UTC.

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