Reproducibility Crisis
A systemic problem in which a large number of published studies fail to yield the same results upon independent reproduction. It is widespread in fields such as psychology, medicine and machine learning, arising mainly because details such as data versions, random seeds and environment configurations are not sufficiently documented.
Timeline (last 90 days)
The reproducibility crisis refers to the fact that a large number of published studies cannot yield the same results when independently reproduced, which is manifested in psychology, medicine, and even machine learning.
Independent analysts often make different decisions when faced with the same data, producing non-negligible variation in results, which is one of the roots of the cross-disciplinary reproducibility crisis.
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The reproducibility crisis refers to the fact that a large number of published studies cannot yield the same results when independently reproduced, which is manifested in psychology, medicine, and even machine learning.
50%UnverifiedIndependent analysts often make different decisions when faced with the same data, producing non-negligible variation in results, which is one of the roots of the cross-disciplinary reproducibility crisis.
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