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The solutions adopted by the high-energy physics community to foster reproducible research are examples of best practices that could be embraced more widely. This first experience suggests that reproducibility requires going beyond openness.
Benjamin Turner et al. report an assessment of replicability of task-based fMRI studies as a function of sample size. They find that the degree of replicability for typical samples sizes reported in the literature is modest and advocate for standards requiring larger sample sizes, potentially in excess of N = 100.
Publically funded energy technology research is critical for a successful low–carbon energy transition, but future uncertainty means decision–making is difficult. This Review explores the role of expert elicitations, integrated assessment models and decision frameworks in informing energy technology policy.