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. “
Syracuse University News: Acuna and Team Create Tool to Detect Academic Fraud in Research Papers. “For academic journal editors and research integrity officers at post-secondary institutions, detecting the re-use of images and illustrations in academic papers can be a time-consuming, if not impossible, task. While resources for detecting similarities and plagiarism in text submissions have been in use for several years, up until now there has been no technological solution that could be applied to finding duplicate images across research literature. That may soon change, thanks to work done by School of Information Studies (iSchool) Assistant Professor Daniel Acuna.”
TRAC Immigration: TRAC’s New Web Tool Maps Cases Pending in Immigration Court. “The Transactional Records Access Clearinghouse (TRAC) at Syracuse University has just released a brand new web mapping application that allows the public to examine for the very first time the number of individuals residing in each state, county, and local community within a county, who have pending cases before the Immigration Court. Using this new interactive web tool, the location of individuals involved in Immigration Court cases can be displayed based upon each individual’s recorded home address. Where the individual is detained, the address shown may be that of the detention facility where the individual is being held.”
A couple days ago I came across a blog post from a student containing an exhaustive analysis of how her Twitter followers expanded and how she used Twitter during a certain class at Syracuse. It was interesting, I thought, but not informative enough for me to include. Yesterday I got a few more similar posts in my Google Alerts and now there’s enough there to just point to the entire blog. There are several extensive posts here detailing how students grew their Twitter followers, what posts worked and didn’t, how they used hashtags, and so forth. If you’re looking for a “bird’s eye” view of Twitter and some thoughtful reflections on posted content without hype and froth, do yourself a favor and browse these posts.