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This review aimed to locate the institution’s climate change-food production nexus research portfolio within an integrated programmatic framework, seeking to uncover not only what CIMMYT has been doing in relation to the issue, but also how climate sensitivity is articulated with other strategic themes. By bringing together a Digital Methods perspective and machine learning techniques, we systematically analyzed CIMMYT’s climate research portfolio at various levels and assessed CIMMYT’s engagement with the broader network of climate action. Based on existing literature, the proposed analytical framework aimed to assess the discourse and the knowledge dissemination processes of CIMMYT’s climate research outputs by considering online narratives and relationships as evidence of broader strategic engagement. We propose a mixed methods approach that employs text mining, network analysis and hyperlink analysis to an unstructured mass of existing, publicly available data (research outputs, online content and social media) to uncover narratives and relationships. Data was extracted from several sources: CIMMYT’s Climate change news page on its website; CIMMYT’s Repository; an index of peer reviewed articles by CIMMYT-affiliated authors, and Twitter content mentioning CIMMYT. A taxonomy was developed in consultation with CIMMYT experts, and custom algorithms were developed to process and analyze the data.
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CIMMYT