Beyond simple metrics: How AI and open data reveal the true complexity of research impact
(18 Nov 2025) Traditional evaluation methods primarily rely on structured data and statistical indicators. While useful, they only provide a partial view of research outcomes and struggle with persistent challenges, including: Long timelines: outcomes may emerge years or decades after initial funding. Fragmented data: they operate in data silos, making it difficult to link funding decisions…







