Numerous studies have investigated factors causing delays in projects of different types. However, there is a lack of studies investigating this issue in the context of public research and development (R&D) projects. To fill this gap, this study utilized an approach that integrates interpretive structural modelling (ISM) and fuzzy cross-impact matrix multiplication (MICMAC) analysis to model and analyze factors causing casing delay in public R&D projects in the context of the United Arab Emirates (UAE). In addition to modeling 17 identified interrelated delay factors by a simple hierarchical graphical model, hidden work activities, low experience/qualification project manager, new technology development, scope underestimation, poor cost estimation, technological complexity, and change orders have been identified as the key factors causing delays in public R&D projects. The findings of this study could be of value to project managers in public organizations that are carrying out R&D projects in the UAE and other nations with similar environments, such as the GCC countries.