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Harvard Data Science Review spotlights UC Berkeley s CDSS

In early May, the Harvard Data Science Review, or HDSR, assessed UC Berkeley’s leadership in the field of data science and UC Berkeley’s Division of Computing, Data Science and Society, or CDSS. HDSR is a multimedia platform launched in July 2019 by the Harvard Data Science Initiative, according to a Harvard University press release. HDSR features leading thinkers in the field of data science and makes data science research more accessible to the general public, the release added. HDSR’s May issue examined the work UC Berkeley has done in the field of data science from a multitude of perspectives, comprehensively displaying the department as a whole, according to a UC Berkeley press release. The issue featured an extensive conversation between HDSR Editor In Chief Xiao-Li Meng, UC President Michael Drake and UC Berkeley Associate Provost Jennifer Chayes.

Harvard Data Science Review explores reproducibility and replicability in science

 E-Mail CAMBRIDGE, MA December 16, 2020 In 2019, the National Academies of Science, Engineering, and Medicine (NASEM) published a consensus report for the US Congress Reproducibility and Replicability in Science which addressed a major methodological crisis in the sciences: The fact that many experiments and results are difficult or impossible to reproduce. The conversation about this report and this vital topic continues in a special, twelve-article feature in issue 2:4 of the Growing awareness of the replication crisis has rocked the fields of medicine and psychology, in particular, where famous experiments and influential findings have been cast into doubt. But these issues affect researchers in a wide range of disciplines from economics to particle physics to climate science and addressing them requires an interdisciplinary approach.

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