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If Numbers Can Speak, Who Listens? Creating Engagement and Learning for Effective Uptake of DRR Investment in Developing Countries

Introduction: With a renewed emphasis on evidence-based risk sensitive investment promoted under the Sendai Framework for Disaster Risk Reduction 2015-2030, technical demands for analytical tools such as probabilistic cost-benefit analysis (CBA) will likely increase in the foreseeable future. This b...

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Autores principales: Mochizuki, Junko, Keating, Adriana, Mechler, Reinhard, Egan, Callahan, Hochrainer-Stigler, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915768/
https://www.ncbi.nlm.nih.gov/pubmed/27366584
http://dx.doi.org/10.1371/currents.dis.ab5922892b54a68f7315e967f6dd3406
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author Mochizuki, Junko
Keating, Adriana
Mechler, Reinhard
Egan, Callahan
Hochrainer-Stigler, Stefan
author_facet Mochizuki, Junko
Keating, Adriana
Mechler, Reinhard
Egan, Callahan
Hochrainer-Stigler, Stefan
author_sort Mochizuki, Junko
collection PubMed
description Introduction: With a renewed emphasis on evidence-based risk sensitive investment promoted under the Sendai Framework for Disaster Risk Reduction 2015-2030, technical demands for analytical tools such as probabilistic cost-benefit analysis (CBA) will likely increase in the foreseeable future. This begs a number of pragmatic questions such as whether or not sophisticated quantitative appraisal tools are effective in raising policy awareness and what alternatives are available. Method: This article briefly reviews current practices of analytical tools such as probabilistic cost-benefit analysis and identifies issues associated with its applications in small scale community based DRR interventions. Results: The article illustrate that while best scientific knowledge should inform policy and practice in principle, it should not create an unrealistic expectation that the state-of-the art methods must be used in all cases, especially for small scale DRR interventions in developing countries, where data and resource limitations and uncertainty are high, and complex interaction and feedback may exist between DRR investment, community response and longer-term development outcome.  Discussion: Alternative and more participatory approaches for DRR appraisals are suggested which includes participatory serious games that are increasingly being used to raise awareness and identify pragmatic strategies for change that are needed to bring about successful uptake of DRR investment and implementation of DRR mainstreaming.
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spelling pubmed-49157682016-06-29 If Numbers Can Speak, Who Listens? Creating Engagement and Learning for Effective Uptake of DRR Investment in Developing Countries Mochizuki, Junko Keating, Adriana Mechler, Reinhard Egan, Callahan Hochrainer-Stigler, Stefan PLoS Curr Discussion Introduction: With a renewed emphasis on evidence-based risk sensitive investment promoted under the Sendai Framework for Disaster Risk Reduction 2015-2030, technical demands for analytical tools such as probabilistic cost-benefit analysis (CBA) will likely increase in the foreseeable future. This begs a number of pragmatic questions such as whether or not sophisticated quantitative appraisal tools are effective in raising policy awareness and what alternatives are available. Method: This article briefly reviews current practices of analytical tools such as probabilistic cost-benefit analysis and identifies issues associated with its applications in small scale community based DRR interventions. Results: The article illustrate that while best scientific knowledge should inform policy and practice in principle, it should not create an unrealistic expectation that the state-of-the art methods must be used in all cases, especially for small scale DRR interventions in developing countries, where data and resource limitations and uncertainty are high, and complex interaction and feedback may exist between DRR investment, community response and longer-term development outcome.  Discussion: Alternative and more participatory approaches for DRR appraisals are suggested which includes participatory serious games that are increasingly being used to raise awareness and identify pragmatic strategies for change that are needed to bring about successful uptake of DRR investment and implementation of DRR mainstreaming. Public Library of Science 2016-06-13 /pmc/articles/PMC4915768/ /pubmed/27366584 http://dx.doi.org/10.1371/currents.dis.ab5922892b54a68f7315e967f6dd3406 Text en © 2016 Mochizuki, Keating, Mechler, Egan, Hochrainer-Stigler, et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Discussion
Mochizuki, Junko
Keating, Adriana
Mechler, Reinhard
Egan, Callahan
Hochrainer-Stigler, Stefan
If Numbers Can Speak, Who Listens? Creating Engagement and Learning for Effective Uptake of DRR Investment in Developing Countries
title If Numbers Can Speak, Who Listens? Creating Engagement and Learning for Effective Uptake of DRR Investment in Developing Countries
title_full If Numbers Can Speak, Who Listens? Creating Engagement and Learning for Effective Uptake of DRR Investment in Developing Countries
title_fullStr If Numbers Can Speak, Who Listens? Creating Engagement and Learning for Effective Uptake of DRR Investment in Developing Countries
title_full_unstemmed If Numbers Can Speak, Who Listens? Creating Engagement and Learning for Effective Uptake of DRR Investment in Developing Countries
title_short If Numbers Can Speak, Who Listens? Creating Engagement and Learning for Effective Uptake of DRR Investment in Developing Countries
title_sort if numbers can speak, who listens? creating engagement and learning for effective uptake of drr investment in developing countries
topic Discussion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915768/
https://www.ncbi.nlm.nih.gov/pubmed/27366584
http://dx.doi.org/10.1371/currents.dis.ab5922892b54a68f7315e967f6dd3406
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