Revealing the Relational Mechanisms of Research for Development Through Social Network Analysis.
Ontology highlight
ABSTRACT: 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 intera
SUBMITTER: Apgar M
PROVIDER: S-EPMC9875764 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
ACCESS DATA