Theory of Change in Complex Research for Development Programmes: Challenges and Solutions from the Global Challenges Research Fund.

Pub Date : 2023-01-01 DOI:10.1057/s41287-023-00574-0
Sarah Chapman, Adiilah Boodhoo, Carren Duffy, Suki Goodman, Maria Michalopoulou
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Abstract

The United Kingdom Research and Innovation (UKRI) Global Challenges Research Fund (GCRF) aimed to address global challenges to achieve the United Nations (UN) Sustainable Development Goals through 12 interdisciplinary research hubs. This research documents key lessons learned around working with Theory of Change (ToC) to guide Monitoring, Evaluation and Learning (MEL) within these complex research for development hubs. Interviews and document reviews were conducted in ten of the research hubs. The results revealed that only one hub invested in an explicit visual system mapping approach, and that funder timelines, budget constraints and issues with capacity and expertise limited the application of these approaches across all hubs. In contrast, many hubs attempted to deal with visual complexity by means of ether constructing multiple, nested ToCs, or a conscious simplification of complexity through reducing their ToC towards a straightforward and uncomplicated chain model or spherical model. While the former approach had some value, most hubs struggled to find capacity to support the full articulation of nested ToCs. In contrast, the latter approach resulted in ToCs which lacked detail or mechanism articulation, but which nevertheless were often 'fit for purpose' in ensuring effective communication and coherence across diverse stakeholders and sub-projects. We conclude that in instances where the reporting, funding and management cycles of complex research for development programmes cannot be adapted to properly support learning-based approaches to ToC development, imposing simplicity in the ToC might be fit for purpose. This might also be preferable to more complex visual approaches that are only partially realised.

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复杂研究促进发展计划的变化理论:全球挑战研究基金的挑战和解决办法。
英国研究与创新(UKRI)全球挑战研究基金(GCRF)旨在通过12个跨学科研究中心应对全球挑战,以实现联合国(UN)可持续发展目标。本研究记录了在这些复杂的开发中心研究中使用变更理论(ToC)指导监测、评估和学习(MEL)的关键经验教训。访谈和文件审查在十个研究中心进行。结果显示,只有一个中心投资于明确的视觉系统映射方法,并且资金时间表,预算限制以及能力和专业知识的问题限制了这些方法在所有中心的应用。相比之下,许多hub试图通过构建多个嵌套ToC来处理视觉复杂性,或者通过将ToC减少到直接且不复杂的链模型或球形模型来有意识地简化复杂性。虽然前一种方法有一定的价值,但大多数中心都在努力寻找支持嵌套toc的完整衔接的能力。相比之下,后一种方法导致toc缺乏细节或机制衔接,但在确保不同利益相关者和子项目之间的有效沟通和一致性方面往往“符合目的”。我们的结论是,在复杂的发展研究项目的报告、资助和管理周期不能适当地适应以支持基于学习的ToC发展方法的情况下,在ToC中强加简单性可能是合适的。这也可能比只部分实现的更复杂的视觉方法更可取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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