Last week, the Michigan Institute for Data Science (MIDAS) announced the awardees of its COVID-19 data science grants. Seven interdisciplinary teams, chosen from 49 submissions, received funding for COVID-19 research.
With data science methods at the core, these teams combat the pandemic in varied and creative ways, including better clinical decisions for in-patients, strategies to improve testing, data-driven guidance for social distancing and reopening, detection of high-risk communities; and addressing inequality in healthcare and in the society’s recovery.
These projects, along with many other excellent proposals we wish we had funding for, demonstrate the resolve, expertise and creativity of U-M data scientists facing a public health catastrophe. They lend us hope that science will help us prevail.
