Current research assessment practices play a decisive role in shaping scientific priorities, funding and careers, yet they often rely on narrow metrics that fail to capture collaboration, openness and societal impact. This can create perverse incentives and place strain on research systems. There is a growing need for more balanced, cost-effective and transparent approaches, supported by open data and carefully governed use of AI. Reforming research assessment requires coordinated action across institutions to better align evaluation practices with the evolving nature of science and societal needs.
