Introduction
As governments, policymakers, and scientists across the globe are racing to identify potential vaccines and drugs for SARS-CoV-2, many scientists hope the information needed to identify a vaccine lies in the millions of available research documents. To support mining information from research literature, the White House, along with leading industries, has made a dataset of research publications directly related to the outbreak available to the general public [1]. Some of the most important questions pertaining to the outbreak which were identified by the US NASEM and the WHO, were published as part of a public challenge along with the publication dataset on Kaggle [2].
We invite submissions describing complete or partial solutions to any of the 10 Kaggle COVID-19 Open Research Dataset Challenge (CORD-19) Tasks to SMCDC for consideration for a best solution paper award, poster presentation, and publication in the conference proceedings.
The SMCDC poster session will give selected researchers perusing the CORD-19 dataset a place to present their work and discuss it with other researchers. Submissions will still need to follow the SMC Data challenge format of submitting a 6-8 page paper describing your partial or complete solution. Please see the call for papers for the full submission
Datasets
The Kaggle CORD-19 Challenge is a separate challenge from SMCDC and can be registered for at Kaggle.com.
References
[1] https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/
[2] https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge/tasks