Development of a Monitoring, Evaluation, Accountability and Learning Framework for Early Warning System for Landslides


Authors : Leslie Jamie C. Cobar, Roy Albert N. Kaimo, Roger S. Savella, Arturo S. Daag

Volume/Issue : Volume 5 - 2020, Issue 4 - April

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2z5OPAU

Due to the devastating impacts of landslides worldwide, various mitigation projects such as establishment of community-based early warning systems are being initiated. Monitoring, evaluation, accountability and learning (MEAL) is integral in ensuring the success of these projects to achieve their goals. Despite the increase in projects and funding for disaster risk reduction, there are insufficient research in understanding the effectiveness of MEAL systems for disaster risk reduction projects, particularly for early warning system for landslides (EWS-L). This study aims to develop a framework for MEAL for EWS-L through a systematic review of the available literature. The issues and recommendations derived from the systematic review were adopted to craft the guiding principles of the framework with the project goals and objectives. This framework provides a novel approach by providing guidelines on planning, designing and implementing MEAL not only for early warning system projects but also in disaster management and development projects in general.

Keywords : Monitoring; Evaluation; Landslides; Early Warning.

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