Syracuse University: ORI Grant Funds Automated Tool to Detect Potential Fraud in Scientific Papers

Syracuse University: ORI Grant Funds Automated Tool to Detect Potential Fraud in Scientific Papers. “The Office of Research Integrity in the U.S. Department of Health and Human Services has awarded funding to a School of Information Studies (iSchool) professor to further automate the detection of fraudulent material in scientific papers. A grant of $149,310 has been awarded to Daniel Acuna, assistant professor. His project aims to advance the detection process by developing tools and systems, including scalable software and infrastructure and statistical feedback, to be used by integrity investigators. The award was presented for his project, “Methods and Tools for Scalable Figure Reuse Detection with Statistical Certainty Reporting.” Acuna plans to develop a data-searching tool that will boost the scale at which articles are automatically searched to detect figure reuse, thus finding cases of potential inauthenticity and inappropriate reuses much more quickly and across broader repositories of information. “

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