Forecast-based financing: community participation in monitoring, evaluation and learning

Forecast-based financing (FbF) is a novel approach in anticipatory humanitarian assistance. It seeks to mitigate disaster impacts and reduce human suffering and losses (German Red Cross [GRC], n.d.). Monitoring, evaluation and learning (MEL) is important to generate evidence that FbF works and to en...

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Main Author: Tan, Shi Ying
Other Authors: David Lallemant
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/156711
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1567112023-02-28T16:47:15Z Forecast-based financing: community participation in monitoring, evaluation and learning Tan, Shi Ying David Lallemant Asian School of the Environment Dennis Wagenaar Celine Liu dlallemant@ntu.edu.sg, dennis.wagenaar@ntu.edu.sg, celine.liu@ntu.edu.sg Social sciences::Sociology::Communities, classes and races Forecast-based financing (FbF) is a novel approach in anticipatory humanitarian assistance. It seeks to mitigate disaster impacts and reduce human suffering and losses (German Red Cross [GRC], n.d.). Monitoring, evaluation and learning (MEL) is important to generate evidence that FbF works and to enhance learning (Weingärtner et al., 2019). Critically, community participation in MEL is important to ensure sustainability of learning, ground-truth risk models, and uphold the fundamental rights of beneficiaries to be involved in decisions that directly affect them (Napier et al., 2020, O’Sullivan, 2020, UNDP, 2020). However, such a participatory MEL is absent from existing FbF projects. There is no formal guidance for how MEL in FbF can be participatory (Start Network and Red Cross Red Crescent Climate Centre, 2020). This project builds upon this gap by examining an ongoing UN-led FbF pilot for typhoon response to understand existing levels of participatory MEL and suggest key recommendations for how MEL in FbF can be more participatory. Through semi-structured interviews with stakeholders of the pilot and experts, I identified existing levels of participation in MEL in the pilot to be low. This is largely because the learning from the pilot is guided by top-down objectives – but this may also suggest that MEL can be more participatory once sufficient evidence has been collected. Additionally, participation tends to increase closer to the ground, between locally-based INGOs and beneficiaries. This finding supports the localization agenda and suggests that top-down coordination informed by ground-up voices may be the way forward to build more sustainable and accountable FbF systems. Keywords: Forecast-based financing, anticipatory action, monitoring, evaluation and learning (MEL), participatory approach, participatory MEL, anticipatory humanitarian assistance, typhoons Bachelor of Science in Environmental Earth Systems Science 2022-04-23T05:01:17Z 2022-04-23T05:01:17Z 2022 Final Year Project (FYP) Tan, S. Y. (2022). Forecast-based financing: community participation in monitoring, evaluation and learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156711 https://hdl.handle.net/10356/156711 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Sociology::Communities, classes and races
spellingShingle Social sciences::Sociology::Communities, classes and races
Tan, Shi Ying
Forecast-based financing: community participation in monitoring, evaluation and learning
description Forecast-based financing (FbF) is a novel approach in anticipatory humanitarian assistance. It seeks to mitigate disaster impacts and reduce human suffering and losses (German Red Cross [GRC], n.d.). Monitoring, evaluation and learning (MEL) is important to generate evidence that FbF works and to enhance learning (Weingärtner et al., 2019). Critically, community participation in MEL is important to ensure sustainability of learning, ground-truth risk models, and uphold the fundamental rights of beneficiaries to be involved in decisions that directly affect them (Napier et al., 2020, O’Sullivan, 2020, UNDP, 2020). However, such a participatory MEL is absent from existing FbF projects. There is no formal guidance for how MEL in FbF can be participatory (Start Network and Red Cross Red Crescent Climate Centre, 2020). This project builds upon this gap by examining an ongoing UN-led FbF pilot for typhoon response to understand existing levels of participatory MEL and suggest key recommendations for how MEL in FbF can be more participatory. Through semi-structured interviews with stakeholders of the pilot and experts, I identified existing levels of participation in MEL in the pilot to be low. This is largely because the learning from the pilot is guided by top-down objectives – but this may also suggest that MEL can be more participatory once sufficient evidence has been collected. Additionally, participation tends to increase closer to the ground, between locally-based INGOs and beneficiaries. This finding supports the localization agenda and suggests that top-down coordination informed by ground-up voices may be the way forward to build more sustainable and accountable FbF systems. Keywords: Forecast-based financing, anticipatory action, monitoring, evaluation and learning (MEL), participatory approach, participatory MEL, anticipatory humanitarian assistance, typhoons
author2 David Lallemant
author_facet David Lallemant
Tan, Shi Ying
format Final Year Project
author Tan, Shi Ying
author_sort Tan, Shi Ying
title Forecast-based financing: community participation in monitoring, evaluation and learning
title_short Forecast-based financing: community participation in monitoring, evaluation and learning
title_full Forecast-based financing: community participation in monitoring, evaluation and learning
title_fullStr Forecast-based financing: community participation in monitoring, evaluation and learning
title_full_unstemmed Forecast-based financing: community participation in monitoring, evaluation and learning
title_sort forecast-based financing: community participation in monitoring, evaluation and learning
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/156711
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