COVID-19 Data-Driven Medicine Competition

The (then) UAB Informatics Institute hosted a hackathon June 15-16, 2020, from 9 a.m. to 5 p.m. to bring together teams of scientists to address problems related to COVID-19 through the use of biomedical and health data. The focus will be on ways to access and analyze data available through the U-BRITE COVID-19 portal. Collaborate and learn with other researchers to help tackle the greatest challenge of our generation. All from UAB are welcome, including trainees, faculty, and staff in biomedical, bioinformatics, computer, and data sciences. We can match individuals with teams based on your background and interests.

The hackathon will take place online over two days (June 15 – 16th). Hackathon topics will be made openly available prior to the event. Check out the information below to propose an idea. Actual coding, analysis, and research will not start until the first day of the hackathon. The hackathon will take place virtually through Zoom meetings and breakout rooms. The event will be guided by a panel of UAB experts consisting of faculty geneticists, virologists, clinicians, informaticians, epidemiologists, and other educators, who will serve as either mentors or judges. All teams will be invited to a short Hackathon presentation on a special UAB Informatics Institute PowerTalk event afterward. After the Hackathon, the winners will be announced.

The hackathon represents a culmination of the recent UAB COVID-19 data science initiative, a project jointly supported by the UAB Informatics Institute, UAB Center for Clinical and Translational Science, and the UAB AI.MED lab since mid-March 2020. The initiative has been built on a UAB biomedical data science infrastructure called U-BRITE and collaborated on by more than 70 researchers, informaticians, trainees, and scientists across campus. The aims of the COVID-19 data science initiative are to curate rapidly accumulating public data sets, software tools, and research articles, build a COVID-fight multi-disciplinary knowledge curation team, and join the fight against COVID-19 with “data-driven medicine.”