A seven-year study called Score found that up to half of social science research results cannot be replicated, highlighting a persistent issue across various scientific fields. This matters because unreliable or non-replicable findings can lead policymakers and practitioners to base decisions on weak evidence, potentially causing harm or missed opportunities for progress. Researchers should prioritize data transparency and robust methodologies to address this challenge.
Read the full article at Artificial intelligence (AI) | The Guardian
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