AI-enabled Data Science for COVID-19

COVID-19 is a pandemic that has spread all over the world. With the US now projected at over 6 million cases, and a lot more people are assumed to be exposed and asymptomatic, based on the seroprevalence studies. With the many COVID-19 related datasets that have been collected, AI is helping us fight this virus with applications such as early detection and diagnosis, contact tracing, projection of cases and mortality, development of drugs and vaccines, etc. We invite submission of papers describing timely and innovative research on all aspects of using AI in the fight against COVID.We invite submission of papers describing timely and innovative research on fighting COVID-19 using AI. Some examples that have been delivered in our BIOKDD 2020 workshop (http://home.biokdd.org/biokdd20/program.html) include: (i) bioinformatics (e.g., SARS-CoV-2 study using signature mutations and human leukocyte antigen)(ii) data curation (e.g., COVID-19 knowledge graph and knowledge base, gene signature database, 1Point3Acres CovidNet, COVID-19 literature curation), (iii) deep learning models (e.g., for case projection, COVID-19 detection using chest X-ray), and (iv) statistical methods (e.g., analysis using Bayesian inference and virtual reality). We welcome papers in all aspects of using AI in the fight against COVID-19, such as clinical, epidemiological, data-driven machine learning, statistical research in developing AI for COVID-19, as well as application-oriented papers that make innova...