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Monitoring and evaluation approaches in water resources project design: experiences from an urban water system climate change adaptation project in Indonesia

机译:水资源项目设计中的监测和评估方法:印度尼西亚城市水系统气候变化适应项目的经验

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摘要

Water research projects are often interdisciplinary and participatory in nature. Scientists and managers involved strive to create learning that advances science in various fields while providing benefits for society. They also face challenges of monitoring and evaluation (M&E) for accountability and measurement of impacts, required by funding agencies. In this paper we tested selected M&E processes and methods for their potential to increase capacity in a cross-cultural inter-disciplinary research setting of an urban water research project. A total of eight different qualitative and quantitative evaluation methods were assessed using two processes: self-evaluation by researchers, testing five methods; and the external evaluations by stakeholders, testing three methods. Both processes were found useful. Of the five self-evaluation methods tested, the Logical Frameworks method was deemed a good planning tool but not one contributing to learning. The qualitative (Factors of Success and Obstacles/Enablers) and the Best Case/Worst Case Scenarios quantitative method were effective learning methods. Tracking Change was found suitable for measuring learning. We recommended that a combination of methods be used in order to capture the full dynamic of projects in various stages. Explicit timelines for indicators and measures of project success are recommended for managing expectations of both researchers and funding agencies.
机译:水研究项目通常是跨学科的和参与性的。参与其中的科学家和管理人员努力创造能够在各个领域推动科学发展并为社会带来利益的学习。他们还面临筹资机构要求的责任制和影响评估的监测与评估(M&E)的挑战。在本文中,我们测试了选定的M&E过程和方法在城市水研究项目的跨文化跨学科研究环境中提高能力的潜力。总共使用两种方法对八种不同的定性和定量评估方法进行了评估:研究人员的自我评估,测试五种方法;和利益相关者的外部评估,测试三种方法。发现这两个过程都是有用的。在测试的五种自我评估方法中,逻辑框架方法被认为是一种很好的计划工具,但没有一种有助于学习。定性(成功因素和障碍/促成因素)和最佳案例/最坏案例方案定量方法是有效的学习方法。发现跟踪变化适合衡量学习。我们建议使用多种方法组合,以捕获各个阶段项目的全部动态。建议使用明确的时间表和项目成功的衡量指标来管理研究人员和资助机构的期望。

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