Revealing the Relational Mechanisms of Research for Development Through Social Network Analysis.
Revealing the Relational Mechanisms of Research for Development Through Social Network Analysis.
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DOI：
10.1057/s41287-023-00576-y
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发表时间：
2023
影响因子：
2.5
通讯作者：
Hossain, Mazeda
中科院分区：
文献类型：
--
作者：
Apgar, Marina;Fournie, Guillaume;Haesler, Barbara;Higdon, Grace Lyn;Kenny, Leah;Oppel, Annalena;Pauls, Evelyn;Smith, Matthew;Snijder, Mieke;Vink, Daan;Hossain, Mazeda
通过研究促发展方案产生影响需要与研究、发展和政策领域的各种利益攸关方接触。因此，要了解这些方案如何支持取得成果，就需要注重参与和协作的关系方面。越来越多的大型研究合作的评估是采用社会网络分析（SNA），利用其因果关系的观点。在本文中，我们使用三个类似的大型R4 D项目的SNA的应用程序，通过我们的工作内的三个Interidsiplinary枢纽的全球挑战研究基金的评估，探索其作为一种评估方法的潜力。我们的比较分析表明，SNA可以揭示R4 D项目内部互动的结构维度，并使我们能够了解网络如何随着时间的推移而演变。我们反思了案例中的共同挑战，包括导航不完整的网络数据导致的不同形式的偏见，跨尺度的多种解释，以及进行因果推理和相关伦理困境的挑战。最后，我们总结了在旨在支持学习和问责的监测、评价和学习系统中使用国民账户体系的方法和业务方面的经验教训。 在线版本包含补充材料，可通过10.1057/s41287-023-00576-y获得。
Achieving impact through research for development programmes (R4D) requires engagement with diverse stakeholders across the research, development and policy divides. Understanding how such programmes support the emergence of outcomes, therefore, requires a focus on the relational aspects of engagement and collaboration. Increasingly, evaluation of large research collaborations is employing social network analysis (SNA), making use of its relational view of causation. In this paper, we use three applications of SNA within similar large R4D programmes, through our work within evaluation of three Interidsiplinary Hubs of the Global Challenges Research Fund, to explore its potential as an evaluation method. Our comparative analysis shows that SNA can uncover the structural dimensions of interactions within R4D programmes and enable learning about how networks evolve through time. We reflect on common challenges across the cases including navigating different forms of bias that result from incomplete network data, multiple interpretations across scales, and the challenges of making causal inference and related ethical dilemmas. We conclude with lessons on the methodological and operational dimensions of using SNA within monitoring, evaluation and learning (MEL) systems that aim to support both learning and accountability. The online version contains supplementary material available at 10.1057/s41287-023-00576-y.