(2nd prize) for the Meta-Analysis of SKewed data (MASK) project which sought to reduce research waste in the research conduct and reporting stages. It identified novel ways to reduce the number of studies which must be omitted from meta-analysis because the required summary statistics have not been included in the clinical study report and are unavailable form the report authors.