Scaling knowledge interoperability for accelerated climate action through the Climate Connectivity Hub and Taxonomy

This study outlines the development of the Climate Connectivity Hub and its underlying Climate Connectivity Taxonomy, designed to improve the interoperability, discoverability and practical use of climate‑related knowledge across research, policy and practice. Centring on climate change adaptation, mitigation and disaster risk reduction, it demonstrates how dispersed online information can be connected through a hybrid approach combining expert input and machine‑learning techniques. The study explains why better‑organised knowledge is essential to avoid maladaptation, reduce duplication, and accelerate climate action, and shows how taxonomies derived from existing project results can reveal knowledge gaps, visualise organisational expertise, and support more coherent decision‑making. 

The study recommends advancing climate action by continuously refining the taxonomy through expert validation, multilingual expansion, and the integration of emerging thematic areas such as transboundary climate risks, climate services and governance. It emphasises the need for sustained stakeholder engagement, iterative curation, and the development of more expressive ontologies or knowledge graphs to enhance the accuracy and relevance of climate information systems. The authors propose that platform managers, knowledge brokers and tool developers adopt the CC Taxonomy to standardise terminology, improve platform interoperability, and support more effective DRR and adaptation planning.