Data sleuths’ work is thankless. They must get credit for retractions The scientific record should reflect what actually happened, not a sanitised narrative that leaves out the messy bits, say Ivan Oransky and David B. Allison By Ivan Oransky 15 January
Detecting Parkinson’s Disease using Deep Learning Techniques from Smart Phone Data Promoted by Khalifa University
Blackboard and the University of Westminster: a sprint to prepare online courses for virtual learning Promoted by Anthology
How the University of Manchester made the shift to proactive digital accessibility Promoted by Anthology
