Aston University biostatistician Dr. Dan Green has identified the top ten errors he commonly sees in research papers in his work as a statistical reviewer for scientific and medical journals.

A group of scientists who are experts at spotting fraudulent research outline five essential steps to combat industrialized scientific misconduct. Anna Abalkina is a research fellow at the Institute ...

A statistical analysis found that the number of fake journal articles being churned out by “paper mills” is doubling every year and a half. By Carl Zimmer For years, whistle-blowers have warned that ...

Tokyo-based artificial intelligence startup Sakana AI today unveiled what it says is the first generative AI model in the world designed to conduct scientific research on its own. The model, called AI ...

Labbé receives funding from the European Research Council. He has also received funding from the French National Research Agency (ANR), and the U.S. Office of Research Integrity. Labbé has been in ...

Dr Dan Green is the lead author on an article outlining the top ten common statistical errors he sees when reviewing scientific papers These include implying causation from association, poorly ...