Leveraging Data Science to Identify Fraudulent Scientific Studies

Leveraging Data Science to Identify Fraudulent Scientific Studies

A recent article in The Atlantic discussed how a scientific researcher is leveraging new software to address the issue of fraud in scientific studies. Though typically I focus more on the application of analytics for occupational fraud, this article showcases how unstructured data (data that doesn’t fit nicely into a row/column or tabular format) can be used to identify red flags of fraud. 

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