The transformative turn in research and innovation (R&I) policy calls for new approaches to monitoring and evaluation, yet most evaluands are still rooted in previous policy paradigms. For evaluators tasked with conducting ex-post evaluations, this situation creates multiple challenges that have received little attention to date. In this…

Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…